云环境下的资源分配和定价机制研究

发布时间:2017-12-27 01:05

  本文关键词:云环境下的资源分配和定价机制研究 出处:《扬州大学》2017年硕士论文 论文类型:学位论文


  更多相关文章: 云计算 云资源分配 云资源定价 Bertrand模型


【摘要】:云计算是融合了网络存储、并行计算以及负载均衡等传统技术的新产物,具有高可靠性、高可拓展性以及低廉的使用费用等特点,吸引了越来越多的企业加入到云计算的应用行列中。云计算实现了以互联网为载体,基于虚拟化技术的分布式网络服务,其服务形式可分为laaS(基础设施即服务)、PaaS(平台即服务)和SaaS(软件即服务),其中主要研究的是laaS。云计算中的关键问题之一是虚拟机(VM)的分配,因此,如何对虚拟机进行合理与高效的分配成为当下需要研究的问题。本文主要针对云资源分配与定价机制进行研究,主要工作有:(1)研究云计算与云资源分配现有的技术和理论知识,对团购和拍卖的问题进行了一定的分析,分析了非合作博弈的相关知识,并分析Nash均衡及Nash均衡解以及Nash均衡中Bertrand等经典模型。(2)研究云资源环境下带有时间时折扣属性的云资源拍卖模型,提出一种新颖的分配和定价机制,该机制与现有的机制在实验环境下进行对比具有一定的优势,以此解决带有时间折扣属性的云资源团购拍卖问题。(3)研究云资源的定价策略问题,基于Bertrand模型结合团购策略提出一套云资源的定价策略。考虑了双寡头的云提供商的情况,首先研究两个云提供商均未采用团购策情况,建立模型并求得一组最优的Nash均衡解,然后继续讨论一个云提供商均采用团购策略时,双方的定价策略并最终获得Nash均衡解。
[Abstract]:Cloud computing is a new product integrating traditional technologies such as network storage, parallel computing and load balancing. It has the characteristics of high reliability, high scalability and low cost of use, attracting more and more enterprises to join the ranks of cloud computing applications. Cloud computing has realized the distributed network service based on virtualization technology based on Internet. Its service form can be divided into laaS (infrastructure, namely service), PaaS (platform as a service) and SaaS (software as a service), among which laaS is the main research. One of the key problems in cloud computing is the allocation of virtual machines (VM). Therefore, how to allocate the virtual machines reasonably and efficiently has become a problem that needs to be studied. This paper focuses on the cloud resource allocation and pricing mechanism, the main work is: (1) research of cloud computing and cloud resource allocation of existing technology and theoretical knowledge, analyses the problems of group purchase and auction, analyzes the related knowledge of non cooperative game theory, and analyze the Nash equilibrium and Nash equilibrium and Bertrand Nash equilibrium in the classical model. (2) the study of cloud resource environment with time when the cloud resource attribute auction discount model, this paper proposes a novel allocation and pricing mechanism, the mechanism and the existing mechanism comparison has certain advantages in the experimental environment, in order to solve the problem with the cloud resource group purchase auction time discount attribute. (3) the pricing strategy of cloud resources is studied, and a set of pricing strategies for cloud resources is proposed based on the Bertrand model combined with the group buying strategy. Consider a duopoly cloud provider, the first of two cloud providers were not using strategy Nash equilibrium group purchase, the establishment of model and obtain a set of optimal solutions, and then continue to discuss a cloud provider with group purchase strategy, the pricing strategy and eventually won the Nash equilibrium.
【学位授予单位】:扬州大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP393.09

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