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arXiv · 1803.03094

Distributed virtual machine consolidation: A systematic mapping study

Adnan Ashraf·Benjamin Byholm·Ivan Porres
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Abstract

Background: Virtual Machine (VM) consolidation is an effective technique to improve resource utilization and reduce energy footprint in cloud data centers. It can be implemented in a centralized or a distributed fashion. Distributed VM consolidation approaches are currently gaining popularity because they are often more scalable than their centralized counterparts and they avoid a single point of failure. Objective: To present a comprehensive, unbiased overview of the state-of-the-art on distributed VM consolidation approaches. Method: A Systematic Mapping Study (SMS) of the existing distributed VM consolidation approaches. Results: 19 papers on distributed VM consolidation categorized in a variety of ways. The results show that the existing distributed VM consolidation approaches use four types of algorithms, optimize a number of different objectives, and are often evaluated with experiments involving simulations. Conclusion: There is currently an increasing amount of interest on developing and evaluating novel distributed VM consolidation approaches. A number of research gaps exist where the focus of future research may be directed.

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Adnan Ashraf, Benjamin Byholm, Ivan Porres. 2018-03-08. Distributed virtual machine consolidation: A systematic mapping study. https://doi.org/10.1016/j.cosrev.2018.02.003

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