SLA-Based Optimization of Energy Efficiency for Green Cloud Computing

Rapid growth and demand for computational power by scientific, business and web-applications has led to the creation of large-scale datacenters consuming enormous amounts of power. Improving the efficiency of datacenters, with a focus on power consumption and carbon emission, is a topical theme on w...

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Bibliographic Details
Published in2015 IEEE Global Communications Conference (GLOBECOM) pp. 1 - 6
Main Authors Anan, Muhammad, Nasser, Nidal
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2015
Subjects
Cloud computing
Heuristic algorithms
Power demand
Quality of service
Servers
Time factors
Virtual machining
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Summary:Rapid growth and demand for computational power by scientific, business and web-applications has led to the creation of large-scale datacenters consuming enormous amounts of power. Improving the efficiency of datacenters, with a focus on power consumption and carbon emission, is a topical theme on which we are witnessing an increasing amount of academic and industrial research. The objective of this paper is to design and implement an energy efficient computing framework for green cloud datacenters that improves energy efficiency, reduces operational costs, and meets required Quality of Service (QoS). A dynamic migration algorithm is proposed to minimize the cost of energy in consideration of SLAs. The proposed approach utilizes one of the most promising technologies in the areas of server virtualization research area, namely Software Defined Networking (SDN) using OpenFlow technology. Obtained results demonstrate that the efficiency of the resource usage and reduced power consumption of the cloud can coexist with Service Level Agreements (SLAs) while keeping the cost of penalties and power consumption to a minimum.
DOI:10.1109/GLOCOM.2015.7417712