Energy efficient virtual machine placement in data centers

Wu, Yongqiang (2013) Energy efficient virtual machine placement in data centers. Masters by Research thesis, Queensland University of Technology.

Abstract

Electricity cost has become a major expense for running data centers and server consolidation using virtualization technology has been used as an important technology to improve the energy efficiency of data centers. In this research, a genetic algorithm and a simulation-annealing algorithm are proposed for the static virtual machine placement problem that considers the energy consumption in both the servers and the communication network, and a trading algorithm is proposed for dynamic virtual machine placement. Experimental results have shown that the proposed methods are more energy efficient than existing solutions.

Impact and interest:

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Full-text downloads:

493 since deposited on 18 Jul 2013
32 in the past twelve months

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ID Code: 61408
Item Type: QUT Thesis (Masters by Research)
Supervisor: Tang, Maolin & Fraser, Warren
Keywords: Virtual Machine Placement, Energy Efficient, Genetic Algorithm, Simulated Annealing, Trading, Optimization
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 18 Jul 2013 04:59
Last Modified: 22 Jun 2017 18:22

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