期刊论文

Jun Li

英文

Swarm and Evolutionary Computation

2210-6502

2024

91

101751

10.1016/j.swevo.2024.101751

CRediT authorship contribution statement Yangkun Xia: Investigation, Methodology, Visualization, Writing – original draft. Xinran Luo: Investigation, Methodology, Visualization, Writing – original draft. Ting Jin: Validation, Writing – review & editing. Jun Li: Conceptualization, Project administration, Supervision, Validation, Writing – review & editing. Lining Xing: Conceptualization, acquisition, Supervision, Writing – review & editing.

本校为第一机构

Cloud computing is increasingly attracting workflow applications, where workflows need to satisfy execution deadlines and energy consumption is to be minimized. So far, numerous studies have adopted evolutionary algorithms to optimize the energy consumption of workflow execution. Dynamic voltage and frequency scaling (DVFS) has been widely employed to save energy on computing devices running workflow tasks. However, most existing evolutionary algorithms focus on evolving task execution order or mapping from tasks to resources, while neglecting ...