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云计算环境下的虚拟机资源分配

发布时间:2019-06-29 21:43
【摘要】:云计算作为一种全新的信息技术,通过网络将大量的计算机连接起来,组成一个庞大的资源池,为用户提供服务。云计算可以降低用户在IT硬件、软件投资维护如购买办公电脑、服务器、企业办公软件以及相应的支持维护人员上的支出,并提高办公电脑、服务器等IT基础设施的利用率。基于集中式基带资源池的云型无线接入网(C-RAN)是一种与云计算结合的新的接入网架构,通过集中并虚拟化基带处理资源,实现基带处理资源的灵活分配,从而提高基带处理资源的利用率,并降低无线网络的建设和运营成本。本文研究了云计算架构下的资源分配算法,并针对C-RAN环境下的应用特性,提出了有效的基带处理资源分配方案。 首先,,本文提出了一种云计算环境下基于业务特征的虚拟机资源分配算法。在该算法中,定义了描述用户业务特征的时延因子和价格因子等参数,资源调度器根据用户对业务特征的描述以及云计算数据中心的状态计算出业务的成本指数,并根据成本指数分配云计算资源,从而降低不同业务特征用户的云计算使用成本。 然后,针对C-RAN架构下的业务和系统特性,提出了一种基带处理资源分配方案。该方案将传统的蜂窝小区一一映射到逻辑小区,然后以逻辑小区为单位研究了基带处理资源的分配问题,将所述基带处理资源分配问题分解为业务调度和计算资源分配两个子问题,并分别给出了具体的业务调度算法和计算资源分配算法,实现了基带资源的动态分配。
[Abstract]:Cloud computing, as a new information technology, connects a large number of computers through the network, and forms a huge pool of resources to provide services for users. Cloud computing can reduce the expenditure of users on IT hardware, software investment and maintenance, such as purchasing office computer, server, enterprise office software and corresponding support maintenance personnel, and improve the utilization of IT infrastructure such as office computer, server and so on. Cloud Wireless access Network (C-RAN) based on centralized baseband resource pool is a new access network architecture combined with cloud computing. By centralizing and virtualizing baseband processing resources, the flexible allocation of baseband processing resources is realized, so as to improve the utilization of baseband processing resources and reduce the construction and operating costs of wireless networks. In this paper, the resource allocation algorithm in cloud computing architecture is studied, and an effective baseband processing resource allocation scheme is proposed according to the application characteristics of C-RAN environment. Firstly, this paper proposes a virtual machine resource allocation algorithm based on business characteristics in cloud computing environment. In this algorithm, the delay factor and price factor are defined to describe the user's business characteristics. The resource scheduler calculates the cost index of the service according to the user's description of the business characteristics and the state of the cloud computing data center, and allocates the cloud computing resources according to the cost index, so as to reduce the cloud computing cost of the users with different business characteristics. Then, according to the service and system characteristics of C-RAN architecture, a baseband processing resource allocation scheme is proposed. In this scheme, the traditional cellular cells are mapped one by one to the logical cells, and then the allocation problem of baseband processing resources is studied in the unit of logical cells. The problem of baseband processing resource allocation is decomposed into two sub-problems: service scheduling and computing resource allocation. The specific service scheduling algorithm and computing resource allocation algorithm are given respectively, and the dynamic allocation of baseband resources is realized.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP393.09

【参考文献】

相关期刊论文 前1条

1 秦志光;柯涛;刘梦娟;王聪;;面向云平台的资源分配策略研究[J];计算机应用;2013年02期



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