摘要
在混合云环境下,任务处理的响应时间是云用户关注的一个性能指标,而每个云用户在选择策略时不仅要考虑自身情况,还要考虑其他云用户使用混合云的策略.构建了混合云环境下用户工作量分解模型,把最小化响应时间作为每一个用户追求的效用目标,通过求解纳什均衡的方法分析用户的最优策略行为,然后提出一个时间复杂度是O(n^2)的求解纳什均衡算法,并基于云计算仿真软件cloudsim进行了数据仿真分析.
In a hybrid cloud computing environment,the response time of processing task is a performance indicator to them,each user has to consider not only his strategy,but also consider other users’ strategies in the enterprise.In this paper,we present a workload factoring model in hybrid cloud based on game theory,user’s utility is the response time of his task and the goal of the user is to minimize the response time.We analyze each user’s strategy,and illustrate the existence and uniqueness of the Nash equilibrium.Moreover,we propose an algorithm to get the Nash equilibrium.At last,we select the data,and make analysis.These works provide the guidelines for cloud users in an enterprise to make strategy more effective.
作者
马小龙
沈张果
王立银
戴永辉
MA Xiao-long;SHEN Zhang-guo;WANG Li-ying;DAI Yong-hui(Huzhou Teachers College, Huzhou 313000, China;Hangzhou Dianzi University, Hangzhou 310018, China;Shanghai University of International Business and Economics, Shanghai 201620, China)
出处
《数学的实践与认识》
北大核心
2019年第12期1-6,共6页
Mathematics in Practice and Theory
基金
湖州师范学院人文社科预研究项目(2017SKYY03)
浙江省自然科学基金(Y18G030049)
关键词
混合云
工作量分解
博弈论
纳什均衡
hybrid cloud
workload factoring
game theory
Nash equilibrium