基于云计算平台的电信业务支撑系统中资源提供策略的研究

发布时间：2018-01-18 02:10

本文关键词：基于云计算平台的电信业务支撑系统中资源提供策略的研究　出处：《南京邮电大学》2012年硕士论文　论文类型：学位论文

【摘要】：电信业务支撑系统是实现电信运营一体化战略及信息资源共享的支持系统,是各大电信运营商在竞争日益激烈的环境下获得成功的关键。云计算作为新一代计算技术,以分布式计算、网格计算、效用计算多种技术为背景发展而来,它为解决大规模的资源部署与管理这一重要问题提供了平台。其中,在云计算资源部署中,为虚拟机提供合适的物理资源是很重要的过程。由于云计算环境下,资源种类繁多,资源具有异构性的特点,现有的资源提供策略未能充分考虑到资源间的各种差异,不完全适合云计算下繁杂的电信业务支撑系统的异构环境。论文针对电信业务支撑系统的特点,在常见的资源提供策略的基础上,提出一种基于EARC(Economy-Availability-Reliability-Collaboration)模型的资源提供策略。该模型将物理资源的经济性因子、可用性因子、可靠性因子和协同性因子四方面综合考虑。其中,经济性因子的计算模型由资源的硬件成本和能耗成本构成,将资源成本因素考虑到资源提供策略中,降低了运营成本;可用性因子的计算模型中考虑了资源的现有资源利用率和剩余可用计算存储能力两个因素,前者使各物理资源的负载更均衡,后者提高资源伸缩性的本地化特点;可靠性因子通过资源预测器对资源进行可靠性预测,将所有满足任务基本计算存储能力要求的可靠或不可靠的资源都纳入候选资源池中,这样能进一步改善数据中心的总体利用率;协同性因子是考虑到不同物理资源执行不同类型任务时的性能差异,通过历史信息来衡量资源的协同指数,提高资源执行任务时的性能。通过对资源四个因素施以不同的权值来调整该算法的整体性能。最后通过仿真实验,验证了EARC模型的资源提供策略的有效性。
[Abstract]:Telecommunication service support system is a support system to realize the integrated strategy of telecommunication operation and the sharing of information resources. Cloud computing as a new generation of computing technology, with distributed computing, grid computing, utility computing as the background of a variety of technologies. It provides a platform for solving the important problem of large-scale resource deployment and management. In the deployment of cloud computing resources, it is very important to provide suitable physical resources for virtual machines. Because of the diversity of resources and the heterogeneity of resources, the existing resource provision strategies do not fully take into account the differences between resources, and are not fully suitable for the heterogeneous environment of complex telecom business support systems under cloud computing. According to the characteristics of telecom service support system, this paper is based on the common resource supply strategy. An EARC-based Economy-Availability-Reliability-collaboration-based system is proposed. The resource supply strategy of the model. The model will be the economic factor of physical resources. The availability factor, reliability factor and collaborative factor are considered synthetically. Among them, the calculation model of economy factor is composed of hardware cost and energy cost of resource. The resource cost factor is taken into account in the resource supply strategy, and the operating cost is reduced. In the calculation model of the availability factor, two factors are considered: the existing resource utilization ratio and the residual available computing storage capacity. The former makes the load of each physical resource more balanced. The latter improves the localization characteristics of resource scalability; Reliability factors predict the reliability of resources through resource predictors, and all reliable or unreliable resources that meet the requirements of the basic computing storage capacity of the task are included in the candidate resource pool. This would further improve the overall utilization of data centres; The synergetic factor is to measure the synergy index of resources through historical information considering the performance differences of different physical resources when performing different types of tasks. Improve the performance of the resource when performing the task. Adjust the overall performance of the algorithm by applying different weights to the four factors of the resource. Finally, through the simulation experiment. The effectiveness of the resource provision strategy of the EARC model is verified.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TN915.0;TP3

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