计算机应用研究2017，Vol.34Issue(7)：1946-1949,1979,5.DOI:10.3969/j.issn.1001-3695.2017.07.005
云联盟中收益最优化算法
Profit optimization algorithm in cloud coalition
摘要
Abstract
This paper studied the cooperative behavior of a group of CRPs by coalitional game.Based on the optimization of execution time and payoff,it defined the basis of forming resource coalition.After building the coalition,for gaining optimal resource mappings,it proposed two algorithms PMTC and TMPC.Finally,for the profit sharing in coalitions,it proposed a sharing strategy of coalitional profit based on Shapley value,which could fully consider the contribution of coalitional toal profit from different members and gain more balaneced and reasonable distribution of total profit among coalitional members.The results of numerical examples show that the resource coalition can improve the executing efficiency of tasks and the entire CRPs' profit,and the profit sharing is more rational among coalitional members by Shapley value.关键词
云计算/联盟博弈/任务调度/收益最优化Key words
cloud computing/coalitional game/tasks scheduling/profit maximizing分类
信息技术与安全科学引用本文复制引用
许利军,王付强,张小庆..云联盟中收益最优化算法[J].计算机应用研究,2017,34(7):1946-1949,1979,5.基金项目
国家自然科学基金资助项目(61472294,61171075) （61472294,61171075）
湖北省自然科学基金重点资助项目(2014CFA050) （2014CFA050）
河南省科技攻关计划资助项目(152102210202) （152102210202）
河南省高等学校重点科研项目(15A520094) （15A520094）
新乡学院科技创新基金资助项目(15ZA04) （15ZA04）
