Ramezani et al., 2020 - Google Patents
Task scheduling in cloud environments: A survey of population‐based evolutionary algorithmsRamezani 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 …
- 238000005457 optimization 0 abstract description 36
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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