Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review

Uddin, Mueen and Darabidarabkhani, Yasaman and Shah, Asadullah and Memon, Jamshed (2015) Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review. Renewable and Sustainable Energy Reviews, 51. pp. 1553-1563. ISSN 1364-0321

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Abstract

A data center comprises of servers, storage devices, cooling and power delivery equipment to support other components, exchange data and information to provide general services such as software-as-a-service (SaaS), Platform-as-a-Service (PaaS)and Internet-as-a-Service (IaaS). Data center require massive amount of computational power to drive complex systems. In return these massive systems bring many challenges and concerns including power dissemination and environmental sustainability. Higher power demand in data centers and changes in computing technology together to maximize data center performance has led to deploying multitude methods to estimate power intensity. Energy cost increment, global economic downturn, and global warming and other concerns have resulted in new research in achieving power efficient data centers. The research proposed in this paper evaluates three task scheduling algorthms RASA, TPPC, and PALB to get the most energy efficient task scheduling algorithms to be used in data centers for measuring their performance and efficiency. The three algorithms are evaluated for performance using three parameters; power efficiency, cost effectiveness, and amount of CO2 emissions. On top of that data center location and climate conditions are also considered and analyzed as parameters as they directly effect the operating costs, the amount of power consumption and CO2 emission. To minimize the power wasted by data center cooling systems is directly related to data center location and climate change. CloudSim simulator is used to implement the algorithms on an IaaS cloud infrastructure, to calculate the power consumption, and to analyze each algorithm's behavior for different parameters. The results generated clearly shows tha TPPC is the most efficient algorithm due to less amount of power consumption and low volume of CO2 emission; However its implementation cost is bit higher compare to PALB and RASA.

Item Type:	Article (Journal)
Additional Information:	6566/44112
Uncontrolled Keywords:	Carbon emissions; Cloud data centers; Power efficiency; Environmental sustainability; Green computing
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	24 May 2016 16:50
Last Modified:	25 Jun 2018 09:06
URI:	http://irep.iium.edu.my/id/eprint/44112

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