An energy-aware scheduling method for parallel tasks based on an adaptive differential evolution algorithm in a multi-cloud environment

•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. With the increasing data and computing scale, the energy consumpt...

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Veröffentlicht in:	Expert systems with applications Jg. 296; S. 129008
Hauptverfasser:	Wang, Qin, Hao, Yongsheng, Xu, Yue, Ma, Tinhuai, Zhang, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.01.2026
Schlagworte:	Energy-aware Parallel tasks QoS Resource scheduling Simulations Task scheduling Parallel tasks Task scheduling Simulations Resource scheduling Energy-aware QoS
ISSN:	0957-4174
Online-Zugang:	Volltext
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