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G-2013-17

Online Traffic Aware Virtual Machine Placement in Multi Data Center Cloud Computing Networks

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Cloud Computing applications are inherently oriented to send and receive information between multiple virtual machines and geographically distributed users. That exchange of information produces a delay with a big impact on the overall application performance and in the quality of service perceived by the users. This article presents a Tabu-Search based algorithm to distribute the virtual machines in multiple data centers with the objective to increase the quality of service, and also considering the energy cost. A network with more than 1,000 nodes is simulated, and 50,000 applications are added using more than 12,000,000 virtual machines. The results report an average delay that is 35% of the delay obtained with the First Fit policy, and a reduction of 18% in the energy cost.

, 18 pages