Abstract
In order to realize green society, we take the process migration approach to reducing the total electric energy consumption of clusters by migrating virtual machines. In our previous studies, the DM (Dynamic Migration) algorithm is proposed where virtual machines are dynamically resumed and suspended and a group of virtual machines on a host server migrate to a guest server so that the total energy consumption of the host and guest servers can be reduced. In this paper, we newly propose a DGM (Dynamic Group Migration) algorithm. Here, there is a seed virtual machine on each server. A virtual machine is created as a clone of the seed virtual machine so that the number of processes on each virtual machine is kept fewer. In the evaluation, we show the total electric energy consumption of servers can be more reduced in the DGM algorithm compared with other algorithms.
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Acknowledgement
This work was supported by Japan Society for the Promotion of Science (JSPS) KAKENHI 15H0295 and Grant-in-Aid for JSPS Research Fellow grant 18J10022.
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Duolikun, D., Enokido, T., Takizawa, M. (2020). Energy-Efficient Group Migration of Virtual Machines in a Cluster. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_12
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DOI: https://doi.org/10.1007/978-3-030-15032-7_12
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