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

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 mas...

Full description

Bibliographic Details
Main Authors:	Uddin, Mueen, Darabidarabkhani, Yasaman, Shah, Asadullah, Memon, Jamshed
Format:	Article
Language:	English English English
Published:	Elsevier 2015
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/44112/ http://irep.iium.edu.my/44112/ http://irep.iium.edu.my/44112/ http://irep.iium.edu.my/44112/1/44112_Evaluating_power_efficient_algorithms_for_efficiency_WOS.pdf http://irep.iium.edu.my/44112/2/44112_Evaluating_power_efficient_algorithms_for_efficiency_Scopus.pdf http://irep.iium.edu.my/44112/5/44112_Evaluating_power_efficient_algorithms_for_efficiency_and_carbon_emissions.pdf

id	iium-44112
recordtype	eprints
spelling	iium-441122018-06-25T01:06:24Z http://irep.iium.edu.my/44112/ Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review Uddin, Mueen Darabidarabkhani, Yasaman Shah, Asadullah Memon, Jamshed T10.5 Communication of technical information 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. Elsevier 2015-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/44112/1/44112_Evaluating_power_efficient_algorithms_for_efficiency_WOS.pdf application/pdf en http://irep.iium.edu.my/44112/2/44112_Evaluating_power_efficient_algorithms_for_efficiency_Scopus.pdf application/pdf en http://irep.iium.edu.my/44112/5/44112_Evaluating_power_efficient_algorithms_for_efficiency_and_carbon_emissions.pdf 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 http://www.sciencedirect.com/science/article/pii/S136403211500708X 10.1016/j.rser.2015.07.061
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Uddin, Mueen Darabidarabkhani, Yasaman Shah, Asadullah Memon, Jamshed Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
description	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.
format	Article
author	Uddin, Mueen Darabidarabkhani, Yasaman Shah, Asadullah Memon, Jamshed
author_facet	Uddin, Mueen Darabidarabkhani, Yasaman Shah, Asadullah Memon, Jamshed
author_sort	Uddin, Mueen
title	Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
title_short	Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
title_full	Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
title_fullStr	Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
title_full_unstemmed	Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
title_sort	evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
publisher	Elsevier
publishDate	2015
url	http://irep.iium.edu.my/44112/ http://irep.iium.edu.my/44112/ http://irep.iium.edu.my/44112/ http://irep.iium.edu.my/44112/1/44112_Evaluating_power_efficient_algorithms_for_efficiency_WOS.pdf http://irep.iium.edu.my/44112/2/44112_Evaluating_power_efficient_algorithms_for_efficiency_Scopus.pdf http://irep.iium.edu.my/44112/5/44112_Evaluating_power_efficient_algorithms_for_efficiency_and_carbon_emissions.pdf
first_indexed	2023-09-18T21:02:45Z
last_indexed	2023-09-18T21:02:45Z
_version_	1777410732673990656

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

Similar Items