JP7581826B2 - Information processing system, control device, method, and program - Google Patents

Description

The present invention relates to an information processing system, etc.

There are technologies for measuring the work efficiency of users. For example, the technology described in Patent Document 1 measures the work efficiency of each user in production by comparing the user's work log with the work log of a model case user. The technology described in Patent Document 2 determines whether the user's absence from their desk during working hours is work-related based on their location when they leave their desk, and estimates the user's work efficiency taking into account the time they were away from their desk.

There are also technologies for controlling network bandwidth. For example, the technology described in Patent Document 3 measures at least one of the effective values of the hardware processing performance, the software processing performance, and the communication device processing performance, and determines the communication bandwidth to be allocated to the user terminal based on the measured value. The required network bandwidth is calculated and set from the effective values of the hardware and software. For example, the technology described in Patent Document 4 detects an event that occurs in each room of a web conferencing system, and performs bandwidth control within the range of the network bandwidth allocated to each room.

JP 2020-095508 A JP 2010-026888 A JP 2006-324793 A JP 2014-112845 A

For example, the network bandwidth required by a computer varies depending on the type of work a user is doing on that computer. If network delays occur uniformly for each user, this delay can reduce the efficiency of the user's work depending on the type of work the user is doing.

One example of the objective of the present invention is to provide an information processing system that improves the work efficiency of users.

The information processing system according to one aspect of the present invention includes a storage means for storing information on the correspondence between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operations in a characteristic task related to the delay of a network to which the device is connected, and a bandwidth control value of the device on the network, a bandwidth control value calculation means for calculating a new bandwidth control value to be assigned to the device by referring to the storage means, and a bandwidth control means for controlling the bandwidth of the device on the network based on the calculated control value.

The control device according to one aspect of the present invention includes a bandwidth control value calculation means for calculating a new bandwidth control value to be assigned to the device based on information on the correspondence between an evaluation value, which is a value based on a history of operations by a user on the device and is a value related to the efficiency of the operations in a characteristic task related to the delay of the network to which the device is connected, and a bandwidth control value of the device in the network, and a bandwidth control means for controlling the bandwidth of the device in the network based on the calculated control value.

In one aspect of the present invention, a method calculates a new bandwidth control value to be assigned to the device based on information on the correspondence between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operations in a characteristic task related to the delay of the network to which the device is connected, and a bandwidth control value of the device in the network, and controls the bandwidth of the device in the network based on the calculated control value.

A program in one aspect of the present invention causes a computer to calculate a new bandwidth control value to be assigned to the device based on information on the correspondence between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operations in a characteristic task related to the delay of the network to which the device is connected, and a bandwidth control value of the device in the network, and to execute a process of controlling the bandwidth of the device in the network based on the calculated control value.

The present invention aims to improve the work efficiency of users.

FIG. 1 is a block diagram illustrating a configuration example of an information processing system according to a first embodiment. FIG. 2 is a flowchart illustrating an operation example of the information processing system according to the first embodiment. FIG. 3 is a block diagram showing an example of a configuration of a control device in a modification of the first embodiment. FIG. 4 is a diagram illustrating an example of an information processing system according to the second embodiment. FIG. 5 is a block diagram of an example of a configuration of an information processing system according to the second embodiment. FIG. 6 is an explanatory diagram showing an example of a characteristic operation. FIG. 7 is an explanatory diagram showing a calculation table of evaluation values relating to kanji conversion. FIG. 8 is an explanatory diagram showing a calculation table of evaluation values regarding re-input and return movement. FIG. 9 is an explanatory diagram showing an example of storage in the correspondence DB. FIG. 10 is an explanatory diagram showing a scatter diagram of control values and evaluation values and a curve in the case of power approximation. FIG. 11 is an explanatory diagram showing an example of the control result. FIG. 12 is a flowchart illustrating an operation example of the information processing system according to the second embodiment. FIG. 13 is an explanatory diagram illustrating an information processing system according to a first modification of the second embodiment. FIG. 14 is an explanatory diagram illustrating an information processing system according to a second modification of the second embodiment. FIG. 15 is a block diagram illustrating a configuration example of an information processing system according to a second modification of the second embodiment. As shown in FIG. FIG. 16 is an explanatory diagram illustrating an example of a hardware configuration of an information processing system.

Below, embodiments of the information processing system, control device, method, and program according to the present invention will be described in detail with reference to the drawings. The disclosed technology is not limited to these embodiments.

(Embodiment 1)
1 is a block diagram showing a configuration example of an information processing system according to a first embodiment. The information processing system 1 controls the bandwidth of a network of a first device (not shown). For example, the information processing system 1 controls access from the first device to a second device (not shown) via the network. The information processing system 1 also controls access from the second device to the first device via the network. The first device uses the second device via the network. Examples of the first device using the second device include the use of an application program executed on the second device, such as a remote desktop or an online game.

In FIG. 1, the information processing system 1 has a bandwidth control value calculation unit 101, a high load detection unit, a bandwidth control unit 102, and a storage unit 103. Each unit may be realized by the same device. Also, each unit may be realized by multiple devices. In the case of multiple devices, the multiple devices may be connected via a network or the like. Alternatively, the multiple devices may be connected without via a network.

The storage unit 103 stores the results of processing by each unit. The storage unit 103 also stores data used in the processing by each unit. Examples of the storage unit 103 include a read only memory (ROM), a random access memory (RAM), a semiconductor memory, a hard disk drive (HDD), and a solid state drive (SSD). The storage unit 103 may be a combination of these.

Specifically, the storage unit 103 stores, for example, correspondence information indicating the correspondence between past evaluation values and past control values for the evaluation values. The evaluation value is a value related to the efficiency of an operation in a characteristic task related to the delay of a network to which the first device is connected. Here, the operation is, for example, an operation by a user on an input device. If the input device is a keyboard, pressing the Delete key is one operation. The task is a task realized by one or more operations. The task also includes a task that does not involve an operation, such as reading a document displayed on the first device. The characteristic task is a task realized by one or more operations. Specifically, the characteristic task is, for example, a task related to a network delay among tasks. The characteristic task can be detected from the operation history. For example, in a kanji conversion task, a user presses a space key and then presses a key to select a desired kanji from one or more kanji candidates. Examples of other characteristic tasks will be described later. The efficiency of the operation is the efficiency of the time required for the operation. For example, if the time required for processing according to an operation is long, the efficiency of the operation is low. If the time required for processing according to an operation is short, the efficiency of the operation is high. Alternatively, the efficiency of the operation is whether or not an unnecessary operation occurs in the user's desired work. If no unnecessary operation occurs, the efficiency of the operation is high. If the efficiency of the operation is high, the user's work efficiency is high. For example, assume that a user performs a scroll operation on an input device while reading a document. If the process for scrolling is long, the efficiency of the operation is low. Therefore, the efficiency of the work of reading the document is low. If the process for scrolling is short, the efficiency of the operation is good. Therefore, the efficiency of the work of reading the document is good. However, if the user does not perform a scroll operation itself, the process for scrolling does not occur, so the efficiency of the operation is good. Therefore, the efficiency of the work of reading the document is good. In addition, the evaluation value is a value based on the history of the operation by the user on the first device. The control value is the control value of the bandwidth of the first device in the network to which the first device is connected.

In other words, the storage unit 103 stores a correspondence between an evaluation value, which is a value related to the efficiency of an operation in a characteristic task related to the delay of the network to which the first device is connected and is a value related to the operation based on a history of operations by a user on the first device, and a control value of the bandwidth of the first device in the network to which the first device is connected.

The information processing system 1 refers to the storage unit 103 and calculates a new bandwidth control value to be assigned to the first device. For example, the information processing system 1 calculates the new control value using the correspondence between past evaluation values related to work efficiency and past bandwidth control values. Then, the information processing system 1 controls the bandwidth of the first device based on the new control value.

The evaluation value will be explained in detail. Here, the magnitude of the evaluation value indicates the efficiency of the operation due to the network delay (good or bad). For example, the larger the evaluation value, the higher the efficiency of the user's operation. In turn, the larger the evaluation value, the higher the user's work efficiency. The smaller the evaluation value, the lower the user's work efficiency. In turn, the smaller the evaluation value, the lower the user's work efficiency. As described above, the characteristic work is a work that takes longer due to network delay. The characteristic work includes kanji conversion and the selection of predicted candidates for a character string. A predicted candidate is the display of a character string that the user wants to input. For example, in the case of kanji conversion, the time required for kanji conversion may be longer due to network delay. The longer the time required for kanji conversion, the lower the efficiency of the work. Therefore, for example, the longer the time required for kanji conversion, the smaller the evaluation value, and the shorter the time required for kanji conversion, the larger the evaluation value. In addition, in the case of selecting predicted candidates for a character string, the longer it takes for the user to select a desired character string from the displayed predicted candidates due to network delay. Therefore, for example, the longer it takes to select a predicted candidate, the smaller the evaluation value, and the shorter it takes to select a predicted candidate, the larger the evaluation value.

Alternatively, the characteristic task may be, for example, a task caused by a network delay. Examples of such characteristic tasks include re-entering and back-moving. Re-entering refers to erasing too much character when correcting a document. Alternatively, re-entering refers to erasing insufficient character when correcting a document. Back-moving refers to moving the cursor too far when moving it. Re-entering and back-moving are more likely to occur due to network delays. Thus, for example, the more frequently these characteristic tasks occur, the smaller the evaluation value, and the less frequently they occur, the higher the evaluation value.

The correspondence information indicates, for example, the correspondence between past evaluation values and past control values at each timing. Specifically, the correspondence information may be a series of information in a time series, such as information including evaluation values and control values at 1:00 PM and information including evaluation values and control values at 2:00 PM. Alternatively, the correspondence information may be information of a function that approximates a series of information. For example, a function uses evaluation values as input to obtain control values. The approximation method is not particularly limited. For example, the approximation method may be power approximation.

Next, the bandwidth control value calculation unit 101 refers to the storage unit 103 and calculates a control value of a new bandwidth to be assigned to the first device. The new control value is, for example, the minimum value of the bandwidth to be assigned to the first device. More specifically, the bandwidth control value calculation unit 101 refers to the storage unit 103 and calculates a control value corresponding to a predetermined evaluation value. Here, the predetermined evaluation value is a value that is estimated not to affect the efficiency of the operation. For example, when the correspondence information is information of the above-mentioned function, the bandwidth control value calculation unit 101 inputs the predetermined evaluation value to the function to obtain a control value corresponding to the predetermined evaluation value.

Next, the bandwidth control unit 102 controls the bandwidth of the first device based on the calculated control value. Specifically, the bandwidth control unit 102 controls the bandwidth of the first device so that the lower limit of the bandwidth of the first device is set to the calculated control value.

Figure 2 is a flowchart showing an example of the operation of the information processing system 1 according to the first embodiment. Here, the processing results of each step in Figure 2 may be stored in the memory unit 103 or in a storage device accessible to each functional unit via a network. The bandwidth control value calculation unit 101 calculates a control value (step S101). Next, the bandwidth control unit 102 controls the bandwidth of the first device based on the control value (step S102).

Next, the effects of the first embodiment will be described. Some users have high work efficiency even when the bandwidth control value is low. On the other hand, some users have low work efficiency even when the bandwidth control value is high. Therefore, the information processing system 1 controls the bandwidth of the first device by, for example, calculating a new control value from the correspondence between past evaluation values related to work efficiency and past bandwidth control values. This allows the information processing system 1 to allocate a bandwidth according to the work efficiency of each user. Therefore, the information processing system 1 can improve the work efficiency of users.

Embodiment 1 is not limited to the above example, and various modifications are possible. We will explain modified examples of embodiment 1.

<Modification of the First Embodiment>
3 is a block diagram showing an example of a configuration of a control device in a modified example of the first embodiment. In FIG. 3, the control device 10 has, for example, a bandwidth control value calculation unit 101 and a bandwidth control unit 102. The functions of the bandwidth control value calculation unit 101 and the bandwidth control unit 102 are the same as those of the bandwidth control value calculation unit 101 and the bandwidth control unit 102 in the information processing system 1 described above, and therefore detailed description thereof will be omitted. The control device 10 accesses the storage unit 103 shown in FIG. 1 via a network or the like. The control device 10 is not particularly limited to, for example, a dedicated device, a PC (Personal Computer), a server, or the like.

In this way, even if each functional unit is realized by one control device 10, the memory unit 103 may be realized by a device other than the control device 10. In addition, the control device 10 may be configured to have a bandwidth control value calculation unit 101, a bandwidth control unit 102, and a memory unit 103.

In addition, the present invention is not limited to the modified example shown in FIG. 3, and as described above, the bandwidth control value calculation unit 101 and the bandwidth control unit 102 may be realized by separate devices.

(Embodiment 2)
Next, the second embodiment will be described in detail with reference to the drawings. In the second embodiment, an example will be described in which the network bandwidth of a user's device is controlled when the network load becomes high while the user is working remotely. Below, the contents that overlap with the above description will be omitted to the extent that the description of the second embodiment is not unclear.

FIG. 4 is an explanatory diagram showing an example of an information processing system according to the second embodiment. In FIG. 4, the information processing system 2 has a first device 21, a control device 20, and a second device 22. For example, the first device 21 and the control device 20 are connected via a network 23 such as a LAN (Local Area Network) or a WAN (Wide Area Network). The control device 20 and the second device 22 are connected via a network such as a LAN. In this way, the first device 21 and the second device 22 are connected via the network 23 and the control device 20. The control device 20 controls the bandwidth of the network 23 from the second device 22 to the first device 21 for each first device 21, for example. Also, the control device 20 controls the bandwidth of the network 23 from the first device 21 to the second device 22 for each first device 21, for example. Alternatively, the control device 20 may perform at least one of the following processes: a process for controlling the bandwidth of the network 23 from the second device 22 to the first device 21, and a process for controlling the bandwidth of the network 23 from the first device 21 to the second device 22. In other words, the control device 20 may perform either one or both of the process for controlling the bandwidth of the network 23 from the second device 22 to the first device 21 and the process for controlling the bandwidth of the network 23 from the first device 21 to the second device 22.

For example, the information processing system 2 realizes a thin client system. The first device 21 is a client terminal that is actually operated by a user in the thin client system. In a remote work environment, for example, the first device 21 is located at each home 24. As shown by the first device 21-1 and the first device 21-2 in FIG. 4, the information processing system 2 may have multiple first devices 21. Also, the second device 22 is a server or a PC in the thin client system. In a remote work environment, for example, the second device 22 is located at the workplace 25. As shown by the second device 22-1 and the second device 22-2 in FIG. 4, the information processing system 2 may have multiple second devices 22.

The first device 21 connects to the network 23, accepts input, and outputs. Specifically, for example, the first device 21 has an output device such as a display, and an input device such as a keyboard and a mouse. The first device 21 accepts user operations via the input device. The second device 22 accepts user operations via the input device of the first device 21. The second device 22 then performs processing according to the accepted operation. The first device 21 outputs the results of the processing in the second device 22 to the output device. In FIG. 4, for example, the first device 21-1 in the user's home 24-1 accesses the second device 22-1 (PC) in the workplace 25 via the network 23.

In this way, when the inflow of packets from the first device 21 or the inflow of packets from the second device 22 increases, the load on the network 23 increases. If the bandwidth of the network 23 allocated to the first device 21 is uniform, when the load on the network 23 increases, the work efficiency of users performing tasks such as character input and scrolling decreases. On the other hand, even if the load on the network 23 increases, the work efficiency of users performing tasks such as reading documents without scrolling does not decrease.

FIG. 5 is a block diagram showing an example of a configuration of an information processing system 2 according to the second embodiment. The information processing system 2 includes a control device 20, a first device 21, and a second device 22. The information processing system 2 includes, as a basic configuration, the configurations of the various parts of the information processing system 1 described in the first embodiment.

The control device 20 has as its basic configuration the configuration of each part of the control device 10 described in the modified example of the first embodiment. The control device 20 has, for example, a bandwidth control value calculation unit 201, a high load detection unit 204, a bandwidth control unit 202, and a memory unit 203. The second device 22 has an evaluation value calculation unit 221, an operation detection unit 222, and a memory unit 223. The high load detection unit 204, the evaluation value calculation unit 221, the operation detection unit 222, and the memory unit 223 are newly added as functional units from the first embodiment.

As described above, the second device 22 can accept user operations on the input device of the first device 21 via the network 23. Therefore, in the second embodiment, the second device 22 has an evaluation value calculation unit 221 and an operation detection unit 222.

The bandwidth control value calculation unit 201 has the function of the bandwidth control value calculation unit 101 described in embodiment 1. The bandwidth control unit 202 has the function of the bandwidth control unit 102 described in embodiment 1. The memory unit 203 has the function of the memory unit 103 described in embodiment 1.

The storage unit 203 of the control device 20 will be described. The storage unit 203 has a correspondence DB 2101. The correspondence DB 2101 has, for example, information on the correspondence between the evaluation value and the control value at each timing for each user. Note that the correspondence DB 2101 is an example, and it is sufficient if the correspondence between the evaluation value and the control value can be determined. For this reason, the evaluation value and the control value may be stored in different storage units. For example, the evaluation value at each timing (e.g., date and time) is stored in the storage unit 203, and the control value at each timing is stored in the storage unit 223. The evaluation value and the control value may be associated with each other by being linked to the timing (e.g., date and time). An illustration of the correspondence DB 2101 will be described later.

Next, the storage unit 223 of the second device 22 will be described. The storage unit 223 stores the results of processing by each part of the second device 22. The storage unit 223 also stores data used in processing by each part of the second device 22. Examples of the storage unit 223 include ROM, RAM, semiconductor memory, HDD, and SSD. The storage unit 223 may be a combination of these. The operation history information 2201 is information on the history of operations for each user. More specifically, the operation history information 2201 is history information on operations by users on the first device 21. The operation history information 2201 stores, for example, the content of an operation and the date and time of the operation in association with each operation. For example, the operation history information 2201 stores information such as that the shift key was pressed on a certain date and time.

Next, the evaluation value calculation unit 221 calculates a new evaluation value for each user, for example, based on the operation history information 2201. In the second embodiment, the higher the evaluation value, the higher the efficiency of the work. The evaluation value calculation unit 221 calculates a new evaluation value at a predetermined timing. Alternatively, the evaluation value calculation unit 221 may calculate a new evaluation value at regular intervals. Specifically, for example, the evaluation value calculation unit 221 may calculate a new evaluation value once per hour. In more detail, the evaluation value calculation unit 221 calculates an evaluation value for the characteristic work from the operation history information 2201. For example, the evaluation value calculation unit 221 calculates an evaluation value based on the time required for the characteristic work detected from the operation history information 2201. Alternatively, the evaluation value calculation unit 221 calculates an evaluation value based on the frequency of occurrence of the characteristic work detected from the operation history information 2201. Here, the characteristic work will be described with reference to FIG. 6.

Figure 6 is an explanatory diagram showing an example of a characteristic task. In Figure 6, the characteristic tasks are a kanji conversion task, a re-input task, and a move back task. The contents of Figure 6 show information used to calculate the evaluation value. The detection method in Figure 6 is a method of detecting information used to calculate the evaluation value from the operation history information 2201.

First, the kanji conversion work will be described. It is estimated that the longer the time required for kanji conversion, the more the delay in the network 23 affects the decrease in work efficiency. As shown in the detection method of FIG. 6, the evaluation value calculation unit 221 detects the time from when the space key is pressed until the next key is pressed as the waiting time for kanji conversion from the operation history information 2201. The evaluation value calculation unit 221 calculates the average value of the waiting time for kanji conversion as the average waiting time. Then, for example, the evaluation value calculation unit 221 calculates the evaluation value based on the average waiting time for kanji conversion. The evaluation value calculation unit 221 calculates the evaluation value so that the longer the average waiting time, the lower the value. For example, the calculation formula or calculation table for the evaluation value may be stored in advance in the storage unit 223 or a storage device accessible to the second device 22.

Figure 7 is an explanatory diagram showing a calculation table of an evaluation value related to kanji conversion. In Figure 7, the calculation table 2202 is graphed to facilitate understanding. The horizontal axis is the average waiting time. The horizontal axis is the evaluation value. For this reason, in Figure 7, in the calculation table 2202, for example, the longer the average waiting time, the lower the evaluation value, and the shorter the average waiting time, the higher the evaluation value. For example, when the average waiting time is 0 seconds, the evaluation value is 100. On the other hand, when the average waiting time is 5 seconds, the evaluation value is 0. Note that when the average waiting time is greater than 5, the evaluation value is 0. The evaluation value calculation unit 221 uses the calculation table 2202 to calculate an evaluation value according to the average waiting time.

The calculation table 2202 is stored, for example, in the memory unit 223 or a storage device accessible to the evaluation value calculation unit 221. The calculation table 2202 may be created, for example, by an administrator of the control device 20. Also, instead of the calculation table 2202, a function capable of calculating evaluation values related to re-input and return movement may be used.

Returning to the explanation of FIG. 6, the re-input operation will be explained. For example, the evaluation value calculation unit 221 calculates the evaluation value based on the occurrence frequency of the re-input operation. The occurrence frequency of the re-input operation is detected from the operation history information 2201. Specifically, the evaluation value calculation unit 221 detects, from the operation history information 2201, a series of operations in which the Ctrl key and the z key are input after the Delete key is input continuously, as the re-input operation. Alternatively, the evaluation value calculation unit 221 detects, from the operation history information 2201, a series of operations in which the same character as the deleted character is re-input after the Delete key is input continuously, as the re-input operation. Alternatively, the evaluation value calculation unit 221 detects, from the operation history information 2201, a series of operations in which the Delete key is input again after the Delete key is input continuously, as the re-input operation. Then, the evaluation value calculation unit 221 detects the number of re-input operations in a predetermined time unit as the occurrence frequency of the re-input operation. The specified time is not particularly limited. For example, the evaluation value calculation unit 221 obtains the frequency of occurrence of re-input by dividing the number of re-input operations detected from the operation history information 2201 for a certain period of time by the specified time. For example, the calculation formula or calculation table for the evaluation value may be stored in advance in the storage unit 223 or a storage device accessible by the second device 22.

Figure 8 is an explanatory diagram showing a calculation table of evaluation values for re-entry and return movement. In Figure 8, the calculation table 2203 is graphed for ease of understanding. The horizontal axis is the frequency of re-entry or return movement. The horizontal axis is the evaluation value. For example, the longer the re-entry, the lower the user's work efficiency due to delays in the network 23. For this reason, in the calculation table 2203, for example, the higher the frequency of re-entry, the lower the evaluation value. On the other hand, the lower the frequency of re-entry, the higher the evaluation value. In Figure 8, the specified time is 5 minutes. For example, if the frequency of occurrence per 5 minutes is 50 times, the evaluation value is 0. If the frequency of occurrence per 5 minutes is 0, the evaluation value is 100.

As with re-entry tasks, the more frequently a move back occurs, the lower the evaluation value. The less frequently a move back occurs, the higher the evaluation value. As with re-entry tasks, the specified time is 5 minutes. For example, if the frequency of occurrence per 5 minutes is 50 times, the evaluation value is 0. If the frequency of occurrence per 5 minutes is 0, the evaluation value is 100.

For ease of explanation, calculation table 2203 shows both a calculation table for re-input and a calculation table for return movement. However, each calculation table may be different. Also, instead of calculation table 2203 for re-input, there may be a function that can calculate an evaluation value for re-input when the frequency of occurrence of re-input is given. Instead of calculation table 2203 for return movement, there may be a function that can calculate an evaluation value for return movement when the frequency of occurrence of return movement is given.

Returning to the explanation of FIG. 6, the return movement task will be explained. For example, the evaluation value calculation unit 221 calculates an evaluation value based on the occurrence frequency of the return movement task. The occurrence frequency of the return movement task is detected from the operation history information 2201. Then, the evaluation value calculation unit 221 detects the number of return movement tasks per predetermined time unit as the occurrence frequency of the return movement task. The predetermined time is not particularly limited. For example, the evaluation value calculation unit 221 detects the occurrence frequency of the return movement task by dividing the number of return movement tasks detected from the operation history information 2201 for a certain period by a second predetermined time. The second predetermined time is not particularly limited. The calculation table 2203 in FIG. 8 is the same as the re-entry task, so a detailed explanation will be omitted.

An evaluation value may be calculated for any one of the multiple characteristic tasks. Also, evaluation values for multiple characteristic tasks among the multiple characteristic tasks shown in FIG. 6 may be calculated. For example, evaluation values may be calculated for the three characteristic tasks shown in FIG. 6. In such a case, the evaluation value calculation unit 221 may use the statistical value of the evaluation values for each characteristic task as the evaluation value for the user's operation. The statistical value may be, for example, the average value, median value, mode value, minimum value, maximum value, etc. The average value will be explained as an example. For example, assume that user E1 is inputting text, and the average waiting time for kanji conversion is 1 second over a 5-minute period, re-input occurs 10 times, and back movement occurs 20 times. According to the calculation table, the evaluation value for the kanji conversion task is 80. According to the calculation table, the evaluation value for the re-input task is 80. According to the calculation table, the evaluation value for the back movement task is 60. Therefore, the evaluation value calculation unit 221 calculates 73.3 as the evaluation value, which is (80 + 80 + 60) / 3. The evaluation value calculation unit 221 stores the calculated evaluation value in the correspondence DB 2101. In an example described below, the evaluation value calculation unit 221 stores the evaluation value in the correspondence DB 2101 for each calculation date and time.

Next, the bandwidth control value calculation unit 201 calculates a new bandwidth control value to be assigned to the first device 21 from the correspondence DB 2101 with reference to the storage unit 203. The new bandwidth control value to be assigned to the first device 21 is, for example, a control value that increases work efficiency. For example, a control value that increases work efficiency is a control value that corresponds to a predetermined evaluation value that indicates high work efficiency. In the examples of Figures 7 and 8 described above, when the evaluation value is 100, there is no waiting time for re-input or kanji conversion, and re-input or moving back does not occur. For example, the predetermined evaluation value is 100. The bandwidth control value calculation unit 201 calculates a control value that corresponds to an evaluation value of 100 from the correspondence DB 2101.

Figure 9 is an explanatory diagram showing an example of the correspondence DB 2101. The correspondence DB 2101 stores the bandwidth control value and the evaluation value at each timing for each user in association with each other. In remote work, a user is, for example, an employee. For example, user E1 has an evaluation value of 10 and a control value of 10 at 9:00 on June 1, 2020. Although the control value is blank for 15:00 on June 1, 2020, the bandwidth control value calculation unit 201 has calculated this control value. The bandwidth control value calculation unit 201 calculates a new evaluation value based on the past control value and the past evaluation value.

10 is an explanatory diagram showing a scatter plot of control values and evaluation values and a curve in the case of power approximation. Graph 2102 shows a scatter plot (points) and a curve (dashed line). The scatter plot on graph 2102 is an example of a graph of the correspondence between the evaluation value and the control value of user E1 obtained from the correspondence DB 2101 shown in FIG. 9. The curve is an example of a graph of a function obtained by power approximation of the evaluation value and the control value of user E1 obtained from the correspondence DB 2101. In graph 2102, the horizontal axis is the control value of the bandwidth. In graph 2102, the vertical axis is the evaluation value. The unit of the control value is, for example, kbps (kilo bits per second). For ease of understanding, a solid line of a predetermined evaluation value (for example, 100) is drawn. As explained in the first embodiment, the power approximation is one example. The type of approximation is not particularly limited.

The bandwidth control value calculation unit 201 calculates 170, which is a control value corresponding to a predetermined evaluation value. The bandwidth control value calculation unit 201 then registers the calculated control value in the correspondence DB 2101. FIG. 10 shows an example of a graph of a function related to one first device 21, but in reality, the operation content differs depending on the user who uses the first device 21. For this reason, the function (curve) differs for each first device 21.

The high load detection unit 204 determines the high load state of the network 23 based on the flow rate of packets from the second device 22 to the control device 20. The high load state is, for example, a state in which the load of the network 23 exceeds a predetermined load. Therefore, the high load detection unit 204 detects whether the load of the network 23 exceeds a predetermined load. In more detail, the high load detection unit 204 detects that the network 23 is in a high load state when the amount of packets from each second device 22 to the control device 20 exceeds a predetermined amount. Alternatively, the high load detection unit 204 determines the high load state of the network 23 based on the flow rate of packets from the network 23 (each first device 21) to the control device 20. In more detail, the high load detection unit 204 detects that the network 23 is in a high load state when the amount of packets from the network 23 to the control device 20 exceeds a predetermined amount. The high load detection unit 204 may detect a high load state when at least one of the following cases is true: when the amount of packets from each second device 22 to the control device 20 exceeds a predetermined amount, and when the amount of packets from the network 23 to the control device 20 exceeds a predetermined amount. In other words, the high load detection unit 204 may detect a high load state when either of the cases is true, or when both of the cases are true.

When the bandwidth control unit 202 detects that the load of the network 23 exceeds a predetermined load, the bandwidth control unit 202 controls the bandwidth of the first device 21 in the network 23 based on the calculated control value. Specifically, the bandwidth control unit 202 controls the bandwidth of the first device 21 in the network 23 when a packet is transmitted from the second device 22 to the first device 21. Specifically, the bandwidth control unit 202 controls the bandwidth of the first device 21 in the network 23 when a packet is transmitted from the first device 21 to the second device 22. Alternatively, the bandwidth control unit 202 controls the bandwidth of the first device 21 in the network 23 when a packet is transmitted from the first device 21 to the second device 22. The bandwidth control unit 202 may perform at least one of the following processes: a process of controlling the bandwidth of the network 23 from the second device 22 to the first device 21, and a process of controlling the bandwidth of the network 23 from the first device 21 to the second device 22. That is, the bandwidth control unit 202 may perform either one of the following processes: a process for controlling the bandwidth of the network 23 from the second device 22 to the first device 21, or a process for controlling the bandwidth of the network 23 from the first device 21 to the second device 22, or it may perform both.

Furthermore, if a user operation is detected when the load on the network 23 becomes high, the bandwidth of the first device 21 may be controlled. For example, the operation detection unit 222 detects whether the user is currently operating the input device. Then, the bandwidth control unit 202 controls the bandwidth of the first device 21 if a user operation on the second device 22 is detected when it is detected that the load on the network 23 exceeds a predetermined load. On the other hand, even if the load on the network 23 is high, if the user is not operating, work efficiency will not decrease significantly. Therefore, if a user operation on the first device 21 is not detected when it is detected that the load on the network 23 exceeds a predetermined load, the bandwidth control unit 202 may not need to control the bandwidth of the first device 21.

Figure 11 is an explanatory diagram showing an example of the control result. Figure 11 shows the bandwidth control value for each user (first device 21) of the second device 22 in the workplace 25. In this way, the bandwidth control value differs for each user.

FIG. 12 is a flowchart showing an example of an operation of the information processing system 2 according to the second embodiment. Here, the processing results of each step in FIG. 12 may be stored in the storage unit 203, the storage unit 223, or a storage device accessible by each functional unit.

First, the evaluation value calculation unit 221 calculates an evaluation value for each characteristic task (step S201). Then, the evaluation value calculation unit 221 calculates the average value of the calculated evaluation values as an evaluation value related to the work efficiency in the second device 22 (step S202). The evaluation value calculation unit 221 stores the calculated evaluation value associated with the date and time in the correspondence DB 2101.

Then, the bandwidth control value calculation unit 201 performs power approximation on the past evaluation value and control value obtained from the correspondence DB 2101 (step S203). As a result, the bandwidth control value calculation unit 201 obtains a function that obtains a control value using the evaluation value as input. Then, the bandwidth control value calculation unit 201 calculates a control value corresponding to the specified evaluation value by applying a specified evaluation value to the function (step S204). The bandwidth control value calculation unit 201 stores the calculated control value in association with the calculated evaluation value (step S205). Next, the high load detection unit 204 determines whether the network 23 is highly loaded (step S206).

If the network 23 is not heavily loaded during the specified period (step S206: No), the information processing system 2 ends the operation of the flow. If the network 23 is heavily loaded (step S206: Yes), the operation detection unit 222 determines whether or not the user is performing an operation (step S207). For example, if an operation is detected (step S207: Yes), the information processing system 2 ends the operation of the flow. On the other hand, if no operation is detected during the second specified period (step S207: No), the bandwidth control unit 202 controls the bandwidth of the network 23 based on the control value (step S208). Following step S208, the information processing system 2 ends the operation of the flow.

Next, the effects of the second embodiment will be described. In the second embodiment, the information processing system 2 controls the bandwidth of the first device 21 for each first device 21 based on a control value calculated from past evaluation values and control values when the load on the network 23 becomes high. This allows the information processing system 2 to control the bandwidth based on the user's work efficiency when the load on the network 23 becomes high. Therefore, the information processing system 2 can suppress a decrease in the user's work efficiency.

Furthermore, if the information processing system 2 detects an operation by a user when the load on the network 23 becomes high, the information processing system 2 controls the bandwidth of the first device 21 based on the calculated control value. This allows the information processing system 2 to suppress a decrease in the user's work efficiency when the load on the network 23 becomes high. Note that if the user is not performing an operation, there is no change in work efficiency, and therefore the information processing system 2 does not need to control the bandwidth of the first device 21.

The information processing system 2 calculates a new evaluation value based on the operation history. The information processing system 2 then stores the calculated evaluation value and the control value in association with each other. This enables the information processing system 2 to control the bandwidth based on the user's more recent work efficiency.

For example, the time required for converting input characters, such as kanji conversion, is increased by delays in the network 23. Therefore, the information processing system 2 may calculate an evaluation value based on the time required for a characteristic task detected from the operation history. This allows the information processing system 2 to control the bandwidth based on the effect of delays in the network 23 on the efficiency of the task.

Furthermore, for example, re-entry work and back-moving work may occur due to delays in the network 23. Therefore, the information processing system 2 may calculate an evaluation value based on the occurrence frequency of work such as kanji conversion of input characters. This allows the information processing system 2 to control the bandwidth based on the effect of work efficiency due to delays in the network 23.

<First Modification of the Second Embodiment>
4, for ease of explanation, the first device 21 and the second device 22 are shown to have a one-to-one relationship, but this is not limited thereto. The information processing system 2 may be a thin client system that uses a virtual desktop infrastructure (VDI). For example, one second device 22 may realize a virtual desktop for each of the multiple first devices 21.

FIG. 13 is an explanatory diagram showing an information processing system 2 according to a first modification of the second embodiment. The information processing system 2 has a plurality of first devices 21 and a plurality of second devices 22. The first device 21-1 uses the second device 22-1 (PC) as in FIG. 4. The first device 21-2 and the first device 21-3 each use a virtual desktop environment provided on the second device 22-2.

In this way, the second device 22 may accept operations from multiple users via multiple first devices 21 (terminal devices) over the network 23. Even in such a case, the information processing system 2 can suppress a decrease in the user's work efficiency by controlling the bandwidth of the network 23 for each first device 21 (user). Note that the block diagram of the first modification example may be the same as the example in FIG. 5, so it is not illustrated here.

<Modification 2 of Second Embodiment>
In the second embodiment, teleworking is taken as an example, but the present invention is not limited to this. For example, the present invention can be used in a configuration in which multiple users access one server, such as an online game. For example, in an online game, a user may input characters using a chat function. For this reason, an evaluation value regarding work efficiency may be calculated from the history of character input operations.

FIG. 14 is an explanatory diagram showing an information processing system 2 according to Variation 2 of Embodiment 2. The information processing system 2 includes, for example, a first device 21, a control device 20, and a second device 22. The second device 22 executes an application program such as an online game. Then, for example, a plurality of first devices 21 use the application program executed by the second device 22.

FIG. 15 is a block diagram showing an example configuration of an information processing system 2 according to Modification 2 of the second embodiment. In Modification 2, the functional units of the control device 20 are unchanged. Modification 2 differs from the example shown in FIG. 5 in that the first device 21 has an evaluation value calculation unit 221, an operation detection unit 222, and a storage unit 223. Note that the functions of each unit are the same as those in FIG. 5, and therefore detailed explanations will be omitted.

This completes the explanation of each embodiment. Next, the hardware configuration of the information processing system 3 will be explained. FIG. 16 is an explanatory diagram showing an example of the hardware configuration of the information processing system 3. The information processing system 3 is an example in which the information processing systems 1 and 2 according to the first and second embodiments are realized by a computer. The information processing system 3 has, for example, a control device 30, a first device 31, and a second device 32.

First, the hardware configuration of the control device 30 will be described. The control device 30 is, for example, an example in which the control devices 10 and 20 according to the modified example of the first embodiment and the second embodiment are realized by a computer.

The control device 30 has a CPU (Central Processing Unit) 301, a ROM 302, a RAM 303, a storage device 304, and a communication interface 305. Each component is connected to the other via a bus 306.

The CPU 301 controls the entire control device 30. For example, the CPU 301 may operate an operating system (OS) to control the entire control device 30. The CPU 301 may have multiple cores.

The control device 30 has a ROM 302, a RAM 303, and a storage device 304 as a storage unit. Examples of the storage device 304 include a semiconductor memory such as a flash memory, a HDD, and an SSD. For example, the storage device 304 stores various programs such as an OS program, an application program, and the programs according to the first and second embodiments. Alternatively, the ROM 302 stores an application program. The ROM 302 may also store the programs according to the first and second embodiments. The RAM 303 is used as a work area for the CPU 301.

The CPU 301 also loads programs stored in the storage device 304, ROM 302, etc. Then, the CPU 301 executes each process coded in the program. The CPU 301 may also download various programs via the network 33. The CPU 301 also functions as a part or the whole of the control device 30. The CPU 301 may also execute processes or commands in the illustrated flowchart based on the program.

The communication interface 305 is connected to a network 33 such as a LAN or WAN via a wireless or wired communication line. The network 33 is, for example, the network 23. As a result, the control device 30 is connected to an external device such as the first device 31 or an external computer via the network 33. The communication interface 305 serves as an interface between the network 33 and the inside of the control device 30. The communication interface 305 also controls the input and output of data from the external device such as the first device 31 or the external computer.

The communication interface 305 is also connected to an external device such as the second device 32 or an external computer via a wireless or wired communication line. The communication interface 305 controls the input and output of data from an external device such as the second device 32 or an external computer.

However, the hardware configuration of the control device 30 shown in FIG. 16 is one example. Components other than those shown in FIG. 16 may be added, or some components may not be included. For example, the control device 30 may have a drive device or the like. The CPU 301 may then read a program or data from a recording medium attached to the drive device or the like into the RAM 303. Examples of recording media include an optical disk, a flexible disk, a magnetic optical disk, and a USB (Universal Serial Bus) memory.

Next, the hardware configuration of the first device 31 will be described. The first device 31 is an example in which the first device 31 described in the second embodiment is realized by a computer. The first device 31 has, for example, a CPU 311, a ROM 312, a RAM 313, a storage device 314, a communication interface 315, an output device 317, and an input device 318. Each component is connected to each other via a bus 316.

The CPU 311 controls the entire first device 31. The first device 31 has a ROM 312, a RAM 313, a storage device 314, and the like as a storage unit. Examples of the storage device 314 include a semiconductor memory such as a flash memory, a HDD, and an SSD. For example, the storage device 314 stores an OS program, an application program, and the like. Alternatively, the ROM 312 stores an application program. And the RAM 313 is used as a work area for the CPU 311.

The CPU 311 also loads programs stored in the storage device 314, ROM 312, etc. Then, the CPU 311 executes each process coded in the program. The CPU 311 may also download various programs via the network 33. The CPU 311 also functions as a part or all of the first device 31. The CPU 311 may also execute processes or instructions in the illustrated flowchart based on the program.

The communication interface 315 is connected to a network 33 such as a LAN or WAN through a wireless or wired communication line. As a result, the first device 31 is connected to an external device or an external computer via the network 33. The communication interface 315 serves as an interface between the network 33 and the inside of the first device 31. The communication interface 315 controls the input and output of data from external devices and external computers such as other first devices 31 and the control device 30. The output device 317 outputs data. The output device 317 is, for example, a display or a printing device. The output device 317 displays, for example, a screen. The input device 318 accepts input by a user's operation. The input device 318 is, for example, a keyboard or a mouse.

The hardware configuration of the first device 31 shown in FIG. 16 is an example. Components other than those shown in FIG. 16 may be added, or some components may not be included. For example, the first device 31 may have a drive device or the like. The CPU 311 may read programs and data from a recording medium attached to the drive device or the like and store them in the RAM 313. Examples of recording media include optical disks, flexible disks, magneto-optical disks, and USB (Universal Serial Bus) memories. The first device 31 may have an input/output device such as a touch panel display, as in a smartphone.

First, the hardware configuration of the second device 32 will be described. The second device 32 is, for example, an example in which the second device 32 according to the second embodiment is realized by a computer.

The second device 32 has a CPU (Central Processing Unit) 321, a ROM 322, a RAM 323, a storage device 324, and a communication interface 325. Each component is connected to the other via a bus 326.

The CPU 321 controls the entire second device 32. For example, the CPU 321 may operate an operating system (OS) to control the entire second device 32. The CPU 321 may have multiple cores.

The second device 32 has a ROM 322, a RAM 323, a storage device 324, and the like as a storage unit. Examples of the storage device 324 include a semiconductor memory such as a flash memory, a HDD, and an SSD. For example, the storage device 324 stores various programs such as an OS program, an application program, and the programs according to the first and second embodiments. Alternatively, the ROM 322 stores an application program. The ROM 322 may also store the programs according to the first and second embodiments. The RAM 323 is used as a work area for the CPU 321.

The CPU 321 also loads programs stored in the storage device 324, ROM 322, etc. Then, the CPU 321 executes each process coded in the program. The CPU 321 may also download various programs via the network 33. The CPU 321 also functions as a part or all of the second device 32. The CPU 321 may also execute processes or instructions in the illustrated flowchart based on the program.

The communication interface 325 is connected to a network such as a LAN (Local Area Network) or a WAN (Wide Area Network) via a wireless or wired communication line. This allows the second device 32 to be connected to an external device or an external computer via the network 33. The communication interface 325 serves as an interface between the network 33 and the inside of the second device 32. The communication interface 325 also controls the input and output of data from the external device or external computer.

However, the hardware configuration of the second device 32 shown in FIG. 16 is one example. Components other than those shown in FIG. 16 may be added, or some components may not be included. For example, the second device 32 may have a drive device or the like. The CPU 321 may then read a program or data from a recording medium attached to the drive device or the like into the RAM 323. Examples of recording media include an optical disk, a flexible disk, a magnetic optical disk, and a USB (Universal Serial Bus) memory.

This completes the description of the hardware configuration of information processing system 3. There are various variations in the methods for realizing information processing systems 1 and 2 described in embodiments 1 and 2. For example, information processing systems 1 and 2 may be realized by any combination of different computers and programs for each component. Furthermore, multiple components provided in each device may be realized by any combination of a single computer and program.

In addition, some or all of the components of the information processing systems 1 and 2 may be realized by circuits for specific applications. In addition, some or all of the information processing systems 1 and 2 may be realized by general-purpose circuits including a processor such as an FPGA (Field Programmable Gate Array). In addition, some or all of the information processing systems 1 and 2 may be realized by a combination of circuits for specific applications and general-purpose circuits. In addition, these circuits may be a single integrated circuit. Or, these circuits may be divided into multiple integrated circuits. And the multiple integrated circuits may be configured by being connected via a bus or the like.

In addition, when some or all of the components of each device are realized by multiple computers, circuits, etc., the multiple computers, circuits, etc. may be centralized or distributed.

The information processing method described in each embodiment is realized by execution by one or more devices such as the control devices 10 and 20. The information processing method is also realized by execution by one or more computers such as the control devices of a program prepared in advance. The program described in each embodiment is recorded on a computer-readable recording medium such as an HDD, SSD, flexible disk, optical disk, flexible disk, magneto-optical disk, or USB memory. The program is then executed by the computer by reading it from the recording medium. The program may also be distributed via the network 33.

The components of the information processing system in each embodiment described above may be realized in hardware, as in the computer information processing system shown in FIG. 16. Alternatively, each component may be realized by a computer or firmware based on program control.

Although the present invention has been described above with reference to each embodiment, the present invention is not limited to the above-mentioned embodiment. The configuration and details of each invention may include embodiments to which various modifications that a person skilled in the art can grasp within the scope of the present invention are applied. The present invention may include embodiments in which the matters described in this specification are appropriately combined or replaced as necessary. For example, matters described using a specific embodiment may also be applied to other embodiments to the extent that no contradiction occurs. For example, although multiple operations are described in order in the form of a flowchart, the order of description does not limit the order in which the multiple operations are performed. Therefore, when implementing each embodiment, the order of the multiple operations may be changed to the extent that the content is not affected.

A part or all of the above-described embodiments can be described as follows. However, a part or all of the above-described embodiments is not limited to the following.

(Appendix 1)
a storage means for storing information on a correspondence relationship between an evaluation value relating to the efficiency of an operation in a characteristic task related to a delay in a network to which the device is connected, the evaluation value being based on a history of operations by a user on the device, and a control value of a bandwidth of the device in the network;
a bandwidth control value calculation means for calculating a new bandwidth control value to be assigned to the device by referring to the storage means;
a bandwidth control means for controlling a bandwidth of the device in the network based on the calculated control value;
An information processing system comprising:

(Appendix 2)
a high load detection means for detecting when the load on the network exceeds a predetermined load;
Equipped with
the bandwidth control means controls the bandwidth of the device in the network based on the calculated control value when it is detected that the load of the network exceeds a predetermined load.
2. The information processing system according to claim 1.

(Appendix 3)
an operation detection means for detecting an operation by the user on the device;
Equipped with
the bandwidth control means, when it is detected that the load on the network has exceeded the predetermined load, controls the bandwidth of the device based on the calculated control value when the operation by the user on the device is detected.
3. The information processing system according to claim 2.

(Appendix 4)
an evaluation value calculation means for newly calculating the evaluation value based on the operation history;
Equipped with
the storage means stores correspondence information indicating a correspondence relationship between the newly calculated evaluation value and the newly calculated control value;
4. An information processing system according to any one of claims 1 to 3.

(Appendix 5)
the evaluation value calculation means calculates the evaluation value based on a time required for the characteristic task detected from the operation history;
5. The information processing system according to claim 4.

(Appendix 6)
The characteristic task is a task that may occur due to the delay,
the evaluation value calculation means calculates an evaluation value for the operation based on an occurrence frequency of the characteristic task detected from the operation history;
6. The information processing system according to claim 4 or 5.

(Appendix 7)
The control value of the new bandwidth to be assigned to the device is a minimum control value of the new bandwidth to be assigned to the device.
7. An information processing system according to any one of claims 1 to 6.

(Appendix 8)
a control device that controls communication between a first device, which is the device, and a second device via the network;
the control device includes the bandwidth control means and the bandwidth control value calculation means,
the bandwidth control means controls a bandwidth of the first device in the network when a packet is transmitted from the second device to the first device.
8. An information processing system according to any one of claims 1 to 7.

(Appendix 9)
a control device that controls communication between a first device, which is the device, and a second device via the network;
the control device includes the bandwidth control means and the bandwidth control value calculation means,
the bandwidth control means controls a bandwidth of the first device in the network when a packet is transmitted from the first device to the second device.
8. An information processing system according to any one of claims 1 to 7.

(Appendix 10)
a control device that controls communication between a first device, which is the device, and a second device via the network;
the control device includes the bandwidth control means and the bandwidth control value calculation means,
the bandwidth control means performs at least one of a process of controlling a bandwidth of the first device in the network when a packet is transmitted from the second device to the first device, and a process of controlling a bandwidth of the first device in the network when a packet is transmitted from the first device to the second device;
8. An information processing system according to any one of claims 1 to 7.

(Appendix 11)
a bandwidth control value calculation means for calculating a new bandwidth control value to be assigned to the device based on information on a correspondence relationship between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operation in a characteristic task related to a delay in a network to which the device is connected, and a bandwidth control value of the device on the network;
a bandwidth control means for controlling a bandwidth of the device in the network based on the calculated control value;
A control device including:

(Appendix 12)
calculating a new bandwidth control value to be assigned to the device based on information on a correspondence relationship between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operation in a characteristic task related to a delay in a network to which the device is connected, and a bandwidth control value of the device in the network;
controlling a bandwidth of the device in the network based on the calculated control value;
method.

(Appendix 13)
On the computer,
calculating a new bandwidth control value to be assigned to the device based on information on a correspondence relationship between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operation in a characteristic task related to a delay in a network to which the device is connected, and a bandwidth control value of the device in the network;
A program for executing a process of controlling a bandwidth of the device in the network based on the calculated control value.

REFERENCE SIGNS LIST 1, 2, 3 Information processing system 10, 20, 30 Control device 21, 31 First device 22, 32 Second device 23, 33 Network 101, 201 Bandwidth control value calculation unit 102, 202 Bandwidth control unit 103, 203 Storage unit 204 High load detection unit 2101 Correspondence DB
2102 Graph 221 Evaluation value calculation unit 222 Operation detection unit 223 Storage unit 2201 Operation history information 2202 Calculation table 2203 Calculation table

Claims (10)

a storage means for storing information on a correspondence relationship between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operation in a characteristic task related to a delay in a network to which the device is connected, and a control value of a bandwidth of the device on the network;
a bandwidth control value calculation means for calculating a new bandwidth control value to be assigned to the device by referring to the storage means;
a bandwidth control means for controlling a bandwidth of the device in the network based on the calculated control value;
An information processing system comprising: a high load detection means for detecting when the load on the network exceeds a predetermined load;
Equipped with
the bandwidth control means controls the bandwidth of the device in the network based on the calculated control value when it is detected that the load of the network exceeds a predetermined load.
The information processing system according to claim 1 . an operation detection means for detecting the operation by the user on the device;
Equipped with
the bandwidth control means, when it is detected that the load on the network has exceeded the predetermined load, controls the bandwidth of the device based on the calculated control value when the operation by the user on the device is detected.
The information processing system according to claim 2 . an evaluation value calculation means for newly calculating the evaluation value based on the operation history;
Equipped with
the storage means stores correspondence information indicating a correspondence relationship between the newly calculated evaluation value and the newly calculated control value;
The information processing system according to claim 1 . the evaluation value calculation means calculates the evaluation value based on a time required for the characteristic task detected from the operation history;
5. The information processing system according to claim 4. The characteristic task is a task that may occur due to the delay,
the evaluation value calculation means calculates the evaluation value based on an occurrence frequency of the characteristic task detected from the operation history.
6. The information processing system according to claim 4 or 5. a control device that controls communication between a first device, which is the device, and a second device via the network;
the control device includes the bandwidth control means and the bandwidth control value calculation means,
the bandwidth control means performs at least one of a process of controlling a bandwidth of the first device in the network when a packet is transmitted from the second device to the first device, and a process of controlling a bandwidth of the first device in the network when a packet is transmitted from the first device to the second device;
The information processing system according to any one of claims 1 to 6. a bandwidth control value calculation means for calculating a new bandwidth control value to be assigned to the device based on information on a correspondence relationship between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operations in a characteristic task related to a delay in a network to which the device is connected, and a bandwidth control value of the device on the network;
a bandwidth control means for controlling a bandwidth of the device in the network based on the calculated control value;
A control device including: calculating a new bandwidth control value to be assigned to the device based on information on a correspondence relationship between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operation in a characteristic task related to a delay in a network to which the device is connected, and a bandwidth control value of the device in the network;
controlling a bandwidth of the device in the network based on the calculated control value;
method. On the computer,
calculating a new bandwidth control value to be assigned to the device based on information on a correspondence relationship between an evaluation value, which is a value based on a history of operations by a user on a device and is a value related to the efficiency of the operation in a characteristic task related to a delay in a network to which the device is connected, and a bandwidth control value of the device in the network;
controlling a bandwidth of the device in the network based on the calculated control value;
A program for executing a process of controlling a bandwidth of the device in the network based on the calculated control value.

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