Distributed Virtual Machine Consolidation: A Systematic Mapping Study

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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.
Original languageUndefined/Unknown
PublisherTurku Centre for Computer Science (TUCS)
ISBN (Electronic)978-952-12-3487-3
Publication statusPublished - 2016
MoE publication typeD4 Published development or research report or study


  • Cloud computing
  • Virtual machine provisioning
  • Consolidation
  • Dynamic VM consolidation
  • Energy-efficiency

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