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Kumar et al., 2024 - Google Patents

EAEFA: An Efficient Energy-Aware Task Scheduling in Cloud Environment

Kumar et al., 2024

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Document ID
10592951766577777984
Author
Kumar M
Kumar G
Publication year
Publication venue
EAI Endorsed Transactions on Scalable Information Systems

External Links

Snippet

The scheduling of tasks in the cloud is a major challenge for improving resource availability and decreasing the total execution time and energy consumption of operations. Due to its simplicity, efficiency, and effectiveness in identifying global optimums, electric fish …
Continue reading at publications.eai.eu (PDF) (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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    • G06Q10/00—Administration; Management
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    • G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes

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