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Li et al., 2022 - Google Patents
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Li et al., 2022 - Google Patents

Weighted double deep Q-network based reinforcement learning for bi-objective multi-workflow scheduling in the cloud

Li et al., 2022

Document ID
3195325032345215236
Author
Li H
Huang J
Wang B
Fan Y
Publication year
Publication venue
Cluster Computing

External Links

Snippet

As a promising distributed paradigm, cloud computing provides a cost-effective deploying environment for hosting scientific applications due to its provisioning elastic, heterogeneous resources in a pay-per-use model. More and more applications modeled as workflows are …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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    • G—PHYSICS
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    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/00—Administration; Management
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