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Towards power efficient consolidation and distribution of virtual machines

Authors:

Courtney Humphries,

Paul RuthAuthors Info & Claims

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

Article No.: 75, Pages 1 - 6

https://doi.org/10.1145/1900008.1900109

Published: 15 April 2010 Publication History

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Abstract

The need for power conservation in today's world is continually growing in importance due to increasing energy costs and the desire to conserve natural resources. Energy conservation extends into computer systems because of these systems' performance demands, energy costs, and the growth of environmental awareness.

Meanwhile, computer virtualization is growing in popularity in today's computer systems because it allows for the consolidation of multiple servers onto one larger server. Data centers and computational clusters use virtualization because of the many benefits it offers over the use of traditional stand-alone servers such as ease of management, enhanced security, and reduced costs.

Virtual machines can be consolidated to obtain maximum power efficiency by taking into account the attributes of applications running in virtual machines. The contribution of this paper is the study of the relationship between applications running in virtual machines, and the effect they have on power consumption. Optimal power efficiency is obtained when virtual machines are consolidated so that all the resources for a given host are fully utilized. This will be used in the goal of building an energy efficient system model and load-balancing algorithm for use in data centers and computational clusters.

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Cited By

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Qazi KLi YSohn A(2014)Workload Prediction of Virtual Machines for Harnessing Data Center ResourcesProceedings of the 2014 IEEE International Conference on Cloud Computing10.1109/CLOUD.2014.76(522-529)Online publication date: 27-Jun-2014
https://dl.acm.org/doi/10.1109/CLOUD.2014.76
Marton GDavid A(2013)Designing and implementing an educational infrastructure for server and storage virtualization technologies2013 IEEE 11th International Conference on Emerging eLearning Technologies and Applications (ICETA)10.1109/ICETA.2013.6674443(275-279)Online publication date: Oct-2013
https://doi.org/10.1109/ICETA.2013.6674443

Index Terms

Towards power efficient consolidation and distribution of virtual machines
1. Computer systems organization
  1. Architectures
    1. Parallel architectures

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Published In

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

April 2010

488 pages

ISBN:9781450300643

DOI:10.1145/1900008

Conference Chair:
H. Conrad Cunningham
University of Mississippi
,
Program Chairs:
Paul Ruth,
Nicholas A. Kraft

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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Association for Computing Machinery

New York, NY, United States

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Published: 15 April 2010

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ACM SE '10: ACM Southeast Regional Conference

April 15 - 17, 2010

Mississippi, Oxford

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ACMSE '10 Paper Acceptance Rate 48 of 94 submissions, 51%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Qazi KLi YSohn A(2014)Workload Prediction of Virtual Machines for Harnessing Data Center ResourcesProceedings of the 2014 IEEE International Conference on Cloud Computing10.1109/CLOUD.2014.76(522-529)Online publication date: 27-Jun-2014
https://dl.acm.org/doi/10.1109/CLOUD.2014.76
Marton GDavid A(2013)Designing and implementing an educational infrastructure for server and storage virtualization technologies2013 IEEE 11th International Conference on Emerging eLearning Technologies and Applications (ICETA)10.1109/ICETA.2013.6674443(275-279)Online publication date: Oct-2013
https://doi.org/10.1109/ICETA.2013.6674443

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Power-efficient distributed scheduling of virtual machines using workload-aware consolidation techniques

Does Live Migration of Virtual Machines Cost Energy?

Live gang migration of virtual machines

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