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...

Celý popis

Podrobná bibliografia

Vydané v:	Expert systems with applications Ročník 296; s. 129008
Hlavní autori:	Wang, Qin, Hao, Yongsheng, Xu, Yue, Ma, Tinhuai, Zhang, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.01.2026
Predmet:	Energy-aware Parallel tasks QoS Resource scheduling Simulations Task scheduling Parallel tasks Task scheduling Simulations Resource scheduling Energy-aware QoS
ISSN:	0957-4174
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!