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


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.


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


Last updated on 2019-17-10 at 03:24