Distributed virtual machine consolidation: A systematic mapping study

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Adnan Ashraf, Benjamin Byholm, Ivan Porres
Publisher: Elsevier Science
Publication year: 2018
Journal: Computer Science Review
Journal acronym: COSREV
Volume number: 28
Issue number: May
Start page: 118
End page: 130
eISSN: 1876-7745


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.


Keywords

Cloud computing, Consolidation, Dynamic VM consolidation, Energy efficiency, Virtual machine provisioning


Documents


Last updated on 2019-21-10 at 03:54