湖南工业大学学报2024，Vol.38Issue(5)：55-61,7.DOI:10.3969/j.issn.1673-9833.2024.05.008
异构云系统中成本和能耗联合优化的调度方法
A Scheduling Method for Joint Optimization of Cost and Energy Consumption in Heterogeneous Cloud System
摘要
Abstract
In view of a joint optimization of cost and energy consumption in heterogeneous cloud systems(HCS),a swarm intelligence optimization algorithm is applied for task scheduling problems,with a reverse solution based white shark optimization algorithm(RS_WSO)to be proposed.As a metaheuristic algorithm,RS_WSO includes population initialization,calculation of reverse solutions,prey tracking and hunting.Experiments are carried out in two scientific workflows,involving epigenome(EP)and Gauss elimination(GE).The results show that RS_WSO algorithm is characterized with clear advantages in terms of cost saving and energy consumption compared with the current advanced meta-heuristic algorithm.关键词
异构云系统/能耗/成本/元启发式算法/白鲨优化算法Key words
heterogeneous cloud system/energy consumption/cost/meta-heuristic algorithm/WSO分类
信息技术与安全科学引用本文复制引用
艾明慧,张龙信,谭润提,张艳芬..异构云系统中成本和能耗联合优化的调度方法[J].湖南工业大学学报,2024,38(5):55-61,7.基金项目
国家重点研发计划基金资助专项子课题(2018YFB1003401) （2018YFB1003401）
湖南省自然科学基金资助项目(2023JJ50204,2024JJ7154) （2023JJ50204,2024JJ7154）
湖南省教育厅科研基金资助项目(23B0560) （23B0560）
