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Reducing electricity cost through virtual machine placement in high performance computing clouds

Authors:

Ricardo Bianchini,

Yogesh Jaluria,

Thu D. NguyenAuthors Info & Claims

SC '11: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis

Article No.: 22, Pages 1 - 12

https://doi.org/10.1145/2063384.2063413

Published: 12 November 2011 Publication History

Abstract

In this paper, we first study the impact of load placement policies on cooling and maximum data center temperatures in cloud service providers that operate multiple geographically distributed data centers. Based on this study, we then propose dynamic load distribution policies that consider all electricity-related costs as well as transient cooling effects. Our evaluation studies the ability of different cooling strategies to handle load spikes, compares the behaviors of our dynamic cost-aware policies to cost-unaware and static policies, and explores the effects of many parameter settings. Among other interesting results, we demonstrate that (1) our policies can provide large cost savings, (2) load migration enables savings in many scenarios, and (3) all electricity-related costs must be considered at the same time for higher and consistent cost savings.

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Cited By

Padhi SSubramanyam R(2024)Uncertainty Level-Based Algorithms by Managing Renewable Energy for Geo-Distributed DatacentersCluster Computing10.1007/s10586-023-04216-227:4(5337-5354)Online publication date: 19-Jan-2024
https://doi.org/10.1007/s10586-023-04216-2
Udayasankaran PThangaraj S(2023)Energy efficient resource utilization and load balancing in virtual machines using prediction algorithmsInternational Journal of Cognitive Computing in Engineering10.1016/j.ijcce.2023.02.0054(127-134)Online publication date: Jun-2023
https://doi.org/10.1016/j.ijcce.2023.02.005
Padhi SSubramanyam R(2023)User request-based scheduling algorithms by managing uncertainty of renewable energyCluster Computing10.1007/s10586-023-04057-z27:2(1965-1982)Online publication date: 15-Jun-2023
https://doi.org/10.1007/s10586-023-04057-z
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Index Terms

Reducing electricity cost through virtual machine placement in high performance computing clouds
1. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        Process management

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Published In

cover image ACM Conferences

SC '11: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis

November 2011

866 pages

ISBN:9781450307710

DOI:10.1145/2063384

Conference Chair:
Scott Lathrop
University of Chicago
,
Program Chairs:
Jim Costa
Sandia National Laboratories
,
William Kramer
National Center for Supercomputing Applications

Copyright © 2011 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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Published: 12 November 2011

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SC '11: International Conference for High Performance Computing, Networking, Storage and Analysis

November 12 - 18, 2011

Washington, Seattle

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SC '11 Paper Acceptance Rate 74 of 352 submissions, 21%;

Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Cited By

Padhi SSubramanyam R(2024)Uncertainty Level-Based Algorithms by Managing Renewable Energy for Geo-Distributed DatacentersCluster Computing10.1007/s10586-023-04216-227:4(5337-5354)Online publication date: 19-Jan-2024
https://doi.org/10.1007/s10586-023-04216-2
Udayasankaran PThangaraj S(2023)Energy efficient resource utilization and load balancing in virtual machines using prediction algorithmsInternational Journal of Cognitive Computing in Engineering10.1016/j.ijcce.2023.02.0054(127-134)Online publication date: Jun-2023
https://doi.org/10.1016/j.ijcce.2023.02.005
Padhi SSubramanyam R(2023)User request-based scheduling algorithms by managing uncertainty of renewable energyCluster Computing10.1007/s10586-023-04057-z27:2(1965-1982)Online publication date: 15-Jun-2023
https://doi.org/10.1007/s10586-023-04057-z
Alharbe NAljohani ARakrouki M(2022)A Fuzzy Grouping Genetic Algorithm for Solving a Real-World Virtual Machine Placement Problem in a Healthcare-CloudAlgorithms10.3390/a1504012815:4(128)Online publication date: 14-Apr-2022
https://doi.org/10.3390/a15040128
Mishra MPanda SSahni SSaxena VIyengar S(2022)A Cost-Variant Renewable Energy-Based Scheduling Algorithm for Cloud ComputingProceedings of the 2022 Fourteenth International Conference on Contemporary Computing10.1145/3549206.3549225(91-97)Online publication date: 4-Aug-2022
https://dl.acm.org/doi/10.1145/3549206.3549225
Parida BRath A(2022)Energy-Aware Load Balancing in Dynamic Cloud Environment Using Nature-Inspired TechniqueAdvances in Micro-Electronics, Embedded Systems and IoT10.1007/978-981-16-8550-7_24(249-258)Online publication date: 23-Apr-2022
https://doi.org/10.1007/978-981-16-8550-7_24
Saxena SKhan MSingh R(2021)ESACR: An Energy Saving Approach from Cloud Resources for Green Cloud Environment2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)10.1109/SMART52563.2021.9676249(628-632)Online publication date: 10-Dec-2021
https://doi.org/10.1109/SMART52563.2021.9676249
Gabhane JPathak SThakare N(2021)Metaheuristics Algorithms for Virtual Machine Placement in Cloud Computing Environments—A ReviewComputer Networks, Big Data and IoT10.1007/978-981-16-0965-7_28(329-349)Online publication date: 22-Jun-2021
https://doi.org/10.1007/978-981-16-0965-7_28
Kumari MSahoo GKumar Senapati KKumar G(2021)Energy‐aware autoscaling for scientific workflow in cloud environmentConcurrency and Computation: Practice and Experience10.1002/cpe.657634:3Online publication date: 2-Sep-2021
https://doi.org/10.1002/cpe.6576
Nazir BAhmad Z(2021)Dynamic energy efficient load balancing strategy for computational gridConcurrency and Computation: Practice and Experience10.1002/cpe.648434:1Online publication date: 17-Jul-2021
https://doi.org/10.1002/cpe.6484
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