research-article

Power and cost aware distributed load management

Authors:

Kiril Schröder,

Daniel Schlitt,

Wolfgang NebelAuthors Info & Claims

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

Pages 123 - 126

https://doi.org/10.1145/1791314.1791333

Published: 13 April 2010 Publication History

Abstract

The continuously rising energy demand of data centers has already reached the two-digit megawatt area by now. The rising energy costs force operators to search for effective methods for energy reduction. A popular, software based instrument is consolidation using virtualization, since this provides also high flexibility for changing business requirements. Dynamic load management can introduce an even stronger consolidation here. An enterprise maintaining more than just one data center can also apply a distributed data center comprehensive load management. This paper presents a vision minimizing the energy requirement or energy costs, using geographical specific characteristics of servers and data centers. The potential for savings of the introduced distributed load management can be up to 40%.

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Cited By

Borgerding ASchomaker G(2016)Extending Energetic Potentials of Data Centers by Resource Optimization to Improve Carbon FootprintAdvances and New Trends in Environmental and Energy Informatics10.1007/978-3-319-23455-7_1(3-19)Online publication date: 2016
https://doi.org/10.1007/978-3-319-23455-7_1
Xu DLiu XFan B(2015)Efficient Server Provisioning and Offloading Policies for Internet Data Centers with Dynamic Load-DemandIEEE Transactions on Computers10.1109/TC.2013.229579764:3(682-697)Online publication date: Mar-2015
https://doi.org/10.1109/TC.2013.2295797
León XNavarro L(2013)A Stackelberg game to derive the limits of energy savings for the allocation of data center resourcesFuture Generation Computer Systems10.1016/j.future.2012.05.02229:1(74-83)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1016/j.future.2012.05.022
Show More Cited By

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Power and cost aware distributed load management

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Published In

cover image ACM Other conferences

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

April 2010

239 pages

ISBN:9781450300421

DOI:10.1145/1791314

General Chairs:
Randy Katz
UC Berkeley
,
David Hutchison
Lancaster University, U.K.

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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IFIP TC6
University of Passau

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2010

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e-Energy '10

Sponsor:

e-Energy '10: 1st Int'l Conf. on Energy-Efficient Computing and Networking

April 13 - 15, 2010

Passau, Germany

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Cited By

Borgerding ASchomaker G(2016)Extending Energetic Potentials of Data Centers by Resource Optimization to Improve Carbon FootprintAdvances and New Trends in Environmental and Energy Informatics10.1007/978-3-319-23455-7_1(3-19)Online publication date: 2016
https://doi.org/10.1007/978-3-319-23455-7_1
Xu DLiu XFan B(2015)Efficient Server Provisioning and Offloading Policies for Internet Data Centers with Dynamic Load-DemandIEEE Transactions on Computers10.1109/TC.2013.229579764:3(682-697)Online publication date: Mar-2015
https://doi.org/10.1109/TC.2013.2295797
León XNavarro L(2013)A Stackelberg game to derive the limits of energy savings for the allocation of data center resourcesFuture Generation Computer Systems10.1016/j.future.2012.05.02229:1(74-83)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1016/j.future.2012.05.022
Jelschen JGottschalk MJosefiok MPitu CWinter A(2012)Towards Applying Reengineering Services to Energy-Efficient ApplicationsProceedings of the 2012 16th European Conference on Software Maintenance and Reengineering10.1109/CSMR.2012.43(353-358)Online publication date: 27-Mar-2012
https://dl.acm.org/doi/10.1109/CSMR.2012.43
Sun ZWang RZhang LLi QChen LWu JLiu Y(2012)Cache-aware Scheduling for Energy Efficiency on Multi-ProcessorsProceedings of the 2012 International Conference on Computer Distributed Control and Intelligent Enviromental Monitoring10.1109/CDCIEM.2012.50(182-186)Online publication date: 5-Mar-2012
https://dl.acm.org/doi/10.1109/CDCIEM.2012.50

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