Energy Efficient Data Center for Cloud Computing

Zhuang, Wenjie

Energy Efficient Data Center for Cloud Computing

2015

Old Westbury, N.Y. : New York Institute of Technology, 2015.

Data processing service centers--Energy conservation
Data centers--Energy conservation
Cloud computing

English

This thesis starts with a thorough analysis of energy consumption in data centers and the problems raised by it. Studies in this thesis focus on reducing energy consumption in data centers, especially energy consumed on servers. An online virtual machine (VM) placement heuristic is proposed to reduce dynamic energy consumption. The technique of delay scheduling is then discussed and proposed as a way to improve energy efficiency. Experimental results are presented to show the impact of delay scheduling on energy efficiency.

New York Institute of Technology 2015. All rights reserved.

PDF

Thesis (Master's)--New York Institute of Technology, 2015

School of Engineering and Computing Sciences

Department of Electrical and Computer Engineering

Master of Science in Electrical and Computer Engineering

Ziqian (Cecilia) Dong