Projects per year
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.
Original language | Undefined/Unknown |
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Pages (from-to) | 118–130 |
Journal | Computer Science Review |
Volume | 28 |
Issue number | May |
DOIs | |
Publication status | Published - 2018 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Cloud computing
- Virtual machine provisioning
- Consolidation
- Dynamic VM consolidation
- Energy efficiency
Projects
- 1 Finished
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N4S: Need for Speed
Porres Paltor, I. (Principal Investigator), Nybom, K. (Co-Investigator), Truscan, D. (Co-Investigator), Ashraf, A. (Co-Investigator), Troubitsyna, E. (Co-Investigator), Byholm, B. (Co-Investigator), Rauf, I. M. (Co-Investigator) & Ahmad, T. (Co-Investigator)
01/01/14 → 31/12/16
Project: Industry/Business Finland