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作 者:Peng XU Xu LIU Huafeng CAO Zhongbao ZHANG
出 处:《Frontiers of Computer Science》2019年第2期440-442,共3页中国计算机科学前沿(英文版)
基 金:the National Natural Science Foundation of China (Grant Nos. 61602050 and U1534201).
摘 要:1 Introduction The network virtualization has attached lots of attention from researchers. Most of the prior studies aim at designing embedding solutions for the VN requests to maximize the revenue for infrastructure providers (InPs) while rarely focusing on the energy costs, which is a vital component. Several proposed energy saving methods focus on the energy optimization when the VN requests arrive. However, since the VN requests arrive and depart dynamically and therefore the resource of physical network changes, this optimization needs to be re-optimized. Figure 1 illustrates this context.
关 键 词:GENETIC algorithm network VIRTUALIZATION INFRASTRUCTURE PROVIDERS (InPs)
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