云存储内容分发网络中的能耗优化方法

针对云存储内容分发网络(CCDN)中的高能耗问题,研究CCDN的能耗优化管理方法。首先,分析CCDN运行原理,给出每台云服务器和每条网络链路的能耗计算公式,利用加权图刻画整个网络系统;然后,基于加权图,给出满足CCDN系统服务质量(QoS)和网络系统数据分发的能耗优化图(MEG)算法。通过模拟实验将该算法与贪心站点(GS)算法和优化静态放置和路由(OSPR)算法进行比较,结果显示:在系统可扩展实验中,MEG 能耗比GS和OSPR能耗分别少6.6%和30%;在保证用户QoS的实验中,MEG能耗比GS和OSPR能耗分别少28.9%和60.2%;在网络拓扑密度实验中,MEG的能耗比GS和OSPR能耗分别少32.2%和89.3%。实验结果表明,所提算法能够大幅度降低CCDN的能耗开销。

Energy consumption optimization method for cloud storage content distribution network

Concerning the problem of high energy consumption existing in Cloud storage Content Distribution Network (CCDN), the energy consumption optimization method for the CCDN was studied. Firstly, the operation principle of CCDN was analysed. Then, the energy consumption formulas were given for each cloud server and each network link. Moreover, the weighted graph was used to describe the whole network. Furthermore, based on the weighted graph, an energy consumption optimization algorithm named Min-Energy-Graph (MEG) was designed to satisfy the Quality of Service (QoS) of CCDN and data distribution of network system. MEG was compared with Greedy Site (GS) and Optimal Static Placement and Routing (OSPR) by the simulation experiments. Compared with the GS and OSPR, the energy consumption of MEG was reduced by 6.6% and 30% respectively in the experiment of system extension, the energy consumption of MEG was reduced by 28.9% and 60.2% separately in the experiment of ensuring the user QoS, and the energy consumption of MEG was reduced by 32.2% and 89.3% independently in the experiment of network topology density. The experimental results show that the proposed energy management method can greatly reduce the energy consumption of CCDN.