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An energy-aware scheduling method for parallel tasks based on an adaptive differential evolution algorithm in a multi-cloud environment
DOI:10.1016/j.eswa.2025.129008.png)
Abstract
En 中文
• We model parallel tasks based on speed-up and supported by slot time; • We give the energy consumption model based on DVFS; • A SAEADE Algorithm is proposed to schedule tasks; • Comparisons are given to test the performance of our methods.
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
Organization
No organization information available

