A self-adaptive differential evolution algorithm fortask scheduling in cloud computing
Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
AISOFT01_050
تاریخ نمایه سازی: 28 بهمن 1402
Abstract:
Task scheduling is the most importantrequirement in cloud computing, which plays a vital role inenhancing the quality of services and reducing powerconsumption and processing time. This paper presents a selfadaptivedifferential evolution (SADE) algorithm for schedulingtasks in cloud computing. The proposed method models taskscheduling as a multi-modal optimization problem with theobjectives of minimizing makespan and energy consumption.The experiments on scheduling benchmarks show thesuperiority of the proposed method in most test cases comparedwith the peer methods.
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Authors
Hojjat Emami
Department of Computer EngineeringUniversity of BonabBonab, Iran