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作 者:彭利民[1]
机构地区:[1]华南农业大学数学与信息学院,广州510642
出 处:《小型微型计算机系统》2016年第5期1079-1083,共5页Journal of Chinese Computer Systems
基 金:国家自然科学基金项目(61103037)资助;广东省自然科学基金项目(S2012040007599)资助
摘 要:当前网络系统的高能耗、低效率等问题日益显著,并逐渐成为限制网络规模和网络服务能力的瓶颈.针对网络虚拟化环境中的能耗问题,根据网络拓扑属性以及底层物理网络中物理节点和网络设备的能耗特性,建立网络拓扑一致性、高效节能的虚拟网络映射模型,将相邻的虚拟节点映射到能耗增幅较小的邻接物理节点上,同时协调使用最小能耗路由算法,将虚拟链路映射到能耗最小的物理路径上.仿真实验表明,TAG-VNM算法有效地提高了休眠物理节点和休眠物理链路数量,显著地降低了虚拟网络映射的资源代价和系统能耗.At present, the problem of high energy consumption and low efficiency is becoming more and more significant in the net- work systems, and is also becoming the bottleneck of network size and network service ability. Aiming at the energy consumption problem in the network virtualization environment,according to network topology attributes and the energy consumption characteristics of the host nodes and network equipments in the substrate network, a virtual network embedding model which having the features of energy efficient and topology-aware is proposed in this paper. Then the adjacent virtual nodes are embedded onto the adjacent physical nodes with minimum energy consumption. At the same time, virtual links are embedded onto physical paths with minimum energy con- sumption by using the minimum energy routing algorithm. Simulation results show that the TAG-VNM algorithm improved the number of hibernating host nodes and hibernating physical links effectively, decreased the energy consumption and resource cost of embedding virtual network significantly.
关 键 词:网络虚拟化 虚拟网络映射 高效节能 拓扑一致性 绿色网络
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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