Abstract
In order to realize eco-society, we have to reduce the electric energy consumed by servers. Virtual machines are now widely used to support applications with virtual computation service in server clusters. Here, a virtual machine can migrate to a guest server while processes are being performed. In the EAMV algorithm we previously proposed, the termination time of each process on each virtual machine has to be estimated. However, it is not easy to obtain the state of each process and takes time to calculate the expected termination time. In this paper, we newly propose a virtual machine migration (VMM) algorithm where termination time of each virtual machine is estimated without considering each process. We evaluate the VMM algorithm and show the total electric energy consumption and active time of servers and the average execution time of processes can be reduced in the VMM algorithm compared with non-migration algorithms. The VMM algorithm is simpler than the EAMV algorithm.
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Duolikun, D., Nakamura, S., Watanabe, R., Enokido, T., Takizawa, M. (2017). Energy-aware Migration of Virtual Machines in a Cluster. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_3
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DOI: https://doi.org/10.1007/978-3-319-49106-6_3
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