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Migration scheme based machine learning for QoS in cloud computing: Survey and research challenges

VM migration has become a hot topic in the Cloud Dater Centers (CDCs). Numerous VM migration schemes are proposed for QoS aimed to improve various metrics affecting the CDCs. Also, it combines a Machine learning approach with modeling and predicting in CDC. Migration scheme through prediction based metric can greatly improve the physical machines resource utilization. Also, effective VM migration scheme can reduce the power consumption and time of the data centers. Thus, it needs to consider metrics which may impact the migration performance and energy efficiency. In this paper, we summarize and classify previous approaches of migration in CDCs. Furthermore, we conclude with a discussion of research problems in this area. In the future work, we will study on live migration mechanism to improve the live migration performance and energy efficiency in the variety of CDCs.