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Optimizing the Migration of Virtual Machines in Cloud Data Centers

Optimizing the Migration of Virtual Machines in Cloud Data Centers
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Author(s): Andrew Toutov (Moscow Technical University of Communications and Informatics, Russia), Natalia Toutova (Moscow Technical University of Communications and Informatics, Russia), Anatoly Vorozhtsov (Moscow Technical University of Communications and Informatics, Russia)and Ilya Andreev (Moscow Technical University of Communications and Informatics, Russia)
Copyright: 2022
Volume: 13
Issue: 1
Pages: 19
Source title: International Journal of Embedded and Real-Time Communication Systems (IJERTCS)
Editor(s)-in-Chief: Sergey Balandin (FRUCT Oy, Finland)
DOI: 10.4018/IJERTCS.289200

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Abstract

Dynamic resource allocation of cloud data centers is implemented with the use of virtual machine migration. Selected virtual machines (VM) should be migrated on appropriate destination servers. This is a critical step and should be performed according to several criteria. It is proposed to use the criteria of minimum resource wastage and service level agreement violation. The optimization problem of the VM placement according to two criteria is formulated, which is equivalent to the well-known main assignment problem in terms of the structure, necessary conditions, and the nature of variables. It is suggested to use the Hungarian method or to reduce the problem to a closed transport problem. This allows the exact solution to be obtained in real time. Simulation has shown that the proposed approach outperforms widely used bin-packing heuristics in both criteria.

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