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Ramezani et al., 2020 - Google Patents

Task scheduling in cloud environments: A survey of population‐based evolutionary algorithms

Ramezani et al., 2020

Document ID
5102421364776940134
Author
Ramezani F
Naderpour M
Taheri J
Romanous J
Zomaya A
Publication year
Publication venue
Evolutionary Computation in Scheduling

External Links

Snippet

In distributed heterogeneous computing environments, such as cloud computing, hundreds of online users may individually or collectively submit thousands of jobs anytime and anywhere to dynamic resources. Given the large number of arriving tasks resulting from …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

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    • G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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