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Workload management for power efficiency in virtualized data centers

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Ravi KothariAuthors Info & Claims

Communications of the ACM, Volume 54, Issue 7

Pages 131 - 141

https://doi.org/10.1145/1965724.1965752

Published: 01 July 2011 Publication History

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Abstract

Power-aware dynamic application placement can address underutilization of servers as well as the rising energy costs in a data center.

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Cited By

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Shanmugam VLing HGopal LEswaran SChiong C(2024)Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigmCluster Computing10.1007/s10586-024-04389-427:6(8557-8575)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10586-024-04389-4
El-Ashmawi WSlowik AAli A(2024)An effective fitness dependent optimizer algorithm for edge server allocation in mobile computingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09582-y28:9-10(6855-6877)Online publication date: 1-May-2024
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Ma XXu MLi QLi YZhou AWang SMa XXu MLi QLi YZhou AWang S(2024)Edge Computing for 5G and 5G-based Mobile Edge Computing System5G Edge Computing10.1007/978-981-97-0213-8_8(151-177)Online publication date: 3-Jan-2024
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Workload management for power efficiency in virtualized data centers

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Published In

Communications of the ACM Volume 54, Issue 7

July 2011

133 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1965724

Issue’s Table of Contents

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

Publication History

Published: 01 July 2011

Published in CACM Volume 54, Issue 7

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Shanmugam VLing HGopal LEswaran SChiong C(2024)Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigmCluster Computing10.1007/s10586-024-04389-427:6(8557-8575)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10586-024-04389-4
El-Ashmawi WSlowik AAli A(2024)An effective fitness dependent optimizer algorithm for edge server allocation in mobile computingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09582-y28:9-10(6855-6877)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s00500-023-09582-y
Ma XXu MLi QLi YZhou AWang SMa XXu MLi QLi YZhou AWang S(2024)Edge Computing for 5G and 5G-based Mobile Edge Computing System5G Edge Computing10.1007/978-981-97-0213-8_8(151-177)Online publication date: 3-Jan-2024
https://doi.org/10.1007/978-981-97-0213-8_8
Bouaouda AAfdel KAbounacer R(2023)Meta-heuristic and Heuristic Algorithms for Forecasting Workload Placement and Energy Consumption in Cloud Data CentersAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0801018:1(1-11)Online publication date: Jan-2023
https://doi.org/10.25046/aj080101
Khan MSaini SKumar P(2023)Ant Colony System for Efficient Virtual Machine Placement in Cloud Computing2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)10.1109/ViTECoN58111.2023.10157079(1-4)Online publication date: 5-May-2023
https://doi.org/10.1109/ViTECoN58111.2023.10157079
Liu XZheng DCao X(2023)Energy-Efficient In-Network Computing at Mobile Edge Networks2023 9th International Conference on Computer and Communications (ICCC)10.1109/ICCC59590.2023.10507429(837-841)Online publication date: 8-Dec-2023
https://doi.org/10.1109/ICCC59590.2023.10507429
Wu HChen YZhang CDong JWang Y(2023)Loads prediction and consolidation of virtual machines in cloudConcurrency and Computation: Practice and Experience10.1002/cpe.776035:23Online publication date: 25-Apr-2023
https://doi.org/10.1002/cpe.7760
Li YZhou AMa XWang S(2022)Profit-Aware Edge Server PlacementIEEE Internet of Things Journal10.1109/JIOT.2021.30828989:1(55-67)Online publication date: 1-Jan-2022
https://doi.org/10.1109/JIOT.2021.3082898
Padidem PLee A(2022)Studying Offloading Optimization for Energy-Latency Tradeoff with Collaborative Edge Computing2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM53663.2022.9721745(1-6)Online publication date: 3-Jan-2022
https://doi.org/10.1109/IMCOM53663.2022.9721745
Bouaouda AAfdel KAbounacer R(2022)Forecasting the Energy Consumption of Cloud Data Centers Based on Container Placement with Ant Colony Optimization and Bin Packing2022 5th Conference on Cloud and Internet of Things (CIoT)10.1109/CIoT53061.2022.9766522(150-157)Online publication date: 28-Mar-2022
https://doi.org/10.1109/CIoT53061.2022.9766522
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Abstract

References

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Power management in virtualized data centers: state of the art

Power Optimization with Performance Assurance for Multi-tier Applications in Virtualized Data Centers

Using live virtual machine migration to improve resource efficiency in virtualized data centers

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