Distributed virtual machine consolidation: A systematic mapping study

Adnan Ashraf

doi:10.1016/j.cosrev.2018.02.003

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Distributed virtual machine consolidation: A systematic mapping study

2018-05-01

Adnan Ashraf *

Benjamin Byholm

Iván Porres

DOI：10.1016/j.cosrev.2018.02.003

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Abstract

En 中文

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. (C) 2018 Elsevier Inc. All rights reserved.

Keywords:

Cloud computing

Data center

Virtual machine

Consolidation

Placement

Energy-efficiency

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