Distributed Virtual Machine Consolidation: A Systematic Mapping Study

D4 Published development or research report or study

Internal Authors/Editors

Publication Details

List of Authors: Adnan Ashraf, Benjamin Byholm, Ivan Porres
Publisher: Turku Centre for Computer Science (TUCS)
Place: Turku
Publication year: 2016
Start page: 1
End page: 29
eISBN: 978-952-12-3487-3


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 2020-29-05 at 01:35