Metaheuristic approaches to virtual machine placement in cloud computing: a review

Dabiah Ahmed Alboaneen; Huaglory Tianfield; Yan Zhang

doi:10.1109/ISPDC.2016.37

Metaheuristic approaches to virtual machine placement in cloud computing: a review

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

186 Downloads (Pure)

Abstract

Virtual machine placement (VMP) is mapping virtual machines (VMs) to appropriate physical machines (PMs) to achieve satisfactory objectives such as minimised energy consumption or maximised performance. VMP is considered as a non-deterministic polynomial-time hard (NP-hard) problem. Metaheuristic techniques are able to find near-optimal solutions to NP-hard problems. This paper presents a review upon metaheuristic approaches to VMP in cloud computing.

Original language	English
Title of host publication	15th International Symposium on Parallel and Distributed Computing (ISPDC), 2016
Publisher	IEEE
Number of pages	8
ISBN (Electronic)	9781509041527
DOIs	https://doi.org/10.1109/ISPDC.2016.37
Publication status	Published - 24 Apr 2017

Keywords

cloud computing
metaheuristic
virtual machine allocation
virtual machine placement

Documents and Links

10.1109/ISPDC.2016.37

Alboaneen, D.A. et al (2017) Metaheuristic approaches to virtual machine placement in cloud computing: a review
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Accepted author manuscript, 204 KB

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Alboaneen, D. A., Tianfield, H., & Zhang, Y. (2017). Metaheuristic approaches to virtual machine placement in cloud computing: a review. In 15th International Symposium on Parallel and Distributed Computing (ISPDC), 2016 IEEE. https://doi.org/10.1109/ISPDC.2016.37

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