云应用提供商收益驱动的最佳云资源配置策略  

Cloud application provider revenue-driven optimal cloud resource allocation strategy

作　　者：白静 张龙昌 BAI Jing;ZHANG Longchang(School of Management Science and Engineering,Dongbei University of Finance and Economics,Dalian 116025,China;School of Information Engineering,Suqian University,Suqian 223800,China;Shenzhen Research Institute,Beijing University of Posts and Telecommunications,Shenzhen 518038,China)

机构地区：[1]东北财经大学管理科学与工程学院,辽宁大连116025 [2]宿迁学院信息工程学院,江苏宿迁223800 [3]北京邮电大学深圳研究院,广东深圳518038

出　　处：《计算机集成制造系统》2024年第7期2495-2505,共11页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(62032003);国家社会科学基金资助项目(19BTQ028);辽宁省教育厅科学研究资助项目(LJKZ1022);宿迁学院科研启动基金资助项目(2022XRC029)。

摘　　要：为解决云资源配置中存在服务质量(QoS)约束违反频繁、资源利用率不充分、云应用提供商收益低的问题,提出面向云应用提供商收益的最佳云资源配置策略。在该策略中,云应用提供商根据经验得出一定时间内用户访问量的概率分布;借鉴报童模型思想,采用损失期望值最小原则计算最佳云资源配置量;固定价格、分段价格、动态价格是较为常见的云资源计费模式,进而基于上述方法设计出固定价格的云资源配置策略、分段价格云资源配置策略、动态价格云资源配置策略。当用户访问量随机时,通过该策略求得的最佳云资源配置量能够使软件即服务提供商收益最大,能充分利用云资源,在基础设施即服务(IaaS)、平台即服务(PaaS)层面不存在违反服务质量约束。To solve the problems of frequent violation of Quality of Service(QoS)constraints,insufficient resource utilization,and low revenue of cloud application provider in cloud resource allocation,an optimal cloud resource allocation strategy for cloud application provider’revenue was proposed.In this strategy,the cloud application provider obtained the probability distribution of visitor volume in a certain period of time based on experience.Then,based on the idea of newsvendor model for reference,the method of minimum loss expectation was adopted to calculate the optimal amount of cloud resource allocation.Fixed,segmented,and dynamic prices were common cloud resource pricing methods.Based on the above methods,the fixed price cloud resource configuration strategy,segmented price cloud resource configuration strategy and dynamic price cloud resource configuration strategy were designed.When visitor volume was random,the optimal cloud resource allocation amount obtained by this strategy could maximize the benefits of cloud application provider and make full use of cloud resources.There was no violation of the QoS constraint at the level of Infrastructure as a Service(IaaS)and Platform as a Service(PaaS).

关 键 词：云应用提供商 云资源 收益驱动 配置策略 云计算系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] TP393[自动化与计算机技术—计算机科学与技术]