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一种多目标蚁群优化的虚拟机放置算法 被引量:12
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作者 赵君 马中 +2 位作者 刘驰 李海山 王新余 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2015年第3期173-178,185,共7页
已有对数据中心虚拟机放置的研究大多为优化数据中心能源消耗和物理机资源浪费等,很少考虑数据中心网络流量的优化,有可能影响数据中心网络的扩展性.为了兼顾考虑物理机资源浪费和网络总流量两个方面,将虚拟机放置建模为多目标优化问题... 已有对数据中心虚拟机放置的研究大多为优化数据中心能源消耗和物理机资源浪费等,很少考虑数据中心网络流量的优化,有可能影响数据中心网络的扩展性.为了兼顾考虑物理机资源浪费和网络总流量两个方面,将虚拟机放置建模为多目标优化问题,同时优化2个目标:最小化物理机资源浪费以提高数据中心物理机使用效率;最小化网络总流量以改善数据中心网络的扩展性.设计了一种基于多目标蚁群优化的虚拟机放置算法来求解该问题.仿真实验结果表明,该算法与首次适合递减算法相比降低了物理机资源浪费和网络总流量,算法具备有效性. 展开更多
关键词 虚拟机放置 多目标蚁群优化 网络总流量
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Modeling and Characterizing Internet Backbone Traffic 被引量:2
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作者 Yang Jie He Yang +1 位作者 Lin Ping Cheng Gang 《China Communications》 SCIE CSCD 2010年第5期49-56,共8页
With enormous growth of the number of Internet users and appearance of new applications, characterization of Internet traffic has attracted more and more attention and has become one of the major challenging issues in... With enormous growth of the number of Internet users and appearance of new applications, characterization of Internet traffic has attracted more and more attention and has become one of the major challenging issues in telecommunication network over the past few years. In this paper, we study the network traffic pattern of the aggregate traffic and of specific application traffic, especially the popular applications such as P2P, VoIP that contribute most network traffic. Our study verified that majority Internet backbone traffic is contributed by a small portion of users and a power function can be used to approximate the contribution of each user to the overall traffic. We show that P2P applications are the dominant traffic contributor in current Internet Backbone of China. In addition, we selectively present the traffic pattern of different applications in detail. 展开更多
关键词 traffic characterization MEASUREMENT traffic pattern BEHAVIOR flow statistical characteristics
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