BOOK-CHAPTER

Dynamic Virtual Machine Placement in Cloud Computing

Arnab K. PaulBibhudatta Sahoo

Year: 2016 Advances in systems analysis, software engineering, and high performance computing book series Pages: 136-167   Publisher: IGI Global

Abstract

The aim of cloud computing is to enable users to access resources on demand. The number of users is continuously increasing. In order to fulfil their needs, we need more number of physical machines and data centers. The increase in the number of physical machines is directly proportional to the consumption of energy. This gives us one of the major challenges; minimization of energy consumption. One of the most effective ways to minimize the consumption of energy is the optimal virtual machine placement on physical machines. This chapter focuses on finding the solution to the problem of dynamic virtual machine placement for the optimized consumption of energy. An energy consumption model is built which takes into account the states of physical machines and live migration of virtual machines. On top of this, the cloud computing model is built. Unlike centralized approaches towards virtual machine placement which result in many unreachable solutions, a decentralized approach is used in this chapter which provides a list of virtual machine migrations for their optimal placement.

Keywords:
Virtual machine Cloud computing Computer science Energy consumption Distributed computing Minification Live migration Operating system Virtualization Engineering

Metrics

8
Cited By
2.59
FWCI (Field Weighted Citation Impact)
44
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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