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Switch sizing for energy-efficient datacenter networks

Authors:

Indra Widjaja,

Anwar Walid,

Yanbin Luo,

Yang Xu,

H. Jonathan ChaoAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 41, Issue 3

Pages 98 - 100

https://doi.org/10.1145/2567529.2567558

Published: 10 January 2014 Publication History

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Abstract

Saving power in datacenter networks has become a pressing issue. ElasticTree and CARPO fat-tree networks have recently been proposed to reduce power consumption by using sleep mode during the operation stage of the network. In this paper, we address the design stage where the right switch size is evaluated to maximize power saving during the expected operation of the network. Our findings reveal that deploying a large number of small switches is more power-efficient than a small number of large switches when the traffic demand is relatively moderate or when servers exchanging traffic are in close proximity. We also discuss the impact of sleep mode on performance such as packet delay and loss.

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Cited By

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(2017)Enabling network innovation in data center networks with software defined networkingJournal of Network and Computer Applications10.1016/j.jnca.2017.07.00494:C(33-49)Online publication date: 15-Sep-2017
https://dl.acm.org/doi/10.1016/j.jnca.2017.07.004
Bergen ATaherimakhsousi NMindel MMüller HOnut V(2016)Software energy optimization in the cloudProceedings of the 26th Annual International Conference on Computer Science and Software Engineering10.5555/3049877.3049903(243-249)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.5555/3049877.3049903
Wang XWang XZheng KYao YCao Q(2016)Correlation-Aware Traffic Consolidation for Power Optimization of Data Center NetworksIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2015.242149227:4(992-1006)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1109/TPDS.2015.2421492
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Switch sizing for energy-efficient datacenter networks

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Published In

cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 41, Issue 3

December 2013

111 pages

ISSN:0163-5999

DOI:10.1145/2567529

Editor:
Giuliano Casale
Imperial College London, London

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 January 2014

Published in SIGMETRICS Volume 41, Issue 3

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Cited By

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(2017)Enabling network innovation in data center networks with software defined networkingJournal of Network and Computer Applications10.1016/j.jnca.2017.07.00494:C(33-49)Online publication date: 15-Sep-2017
https://dl.acm.org/doi/10.1016/j.jnca.2017.07.004
Bergen ATaherimakhsousi NMindel MMüller HOnut V(2016)Software energy optimization in the cloudProceedings of the 26th Annual International Conference on Computer Science and Software Engineering10.5555/3049877.3049903(243-249)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.5555/3049877.3049903
Wang XWang XZheng KYao YCao Q(2016)Correlation-Aware Traffic Consolidation for Power Optimization of Data Center NetworksIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2015.242149227:4(992-1006)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1109/TPDS.2015.2421492
Bergen ATaherimakhsousi NMüller HInverardi PSchmerl B(2015)Adaptive management of energy consumption using adaptive runtime modelsProceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.5555/2821357.2821380(120-126)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2821357.2821380
Bergen ATaherimakhsousi NMüller H(2015)Adaptive Management of Energy Consumption Using Adaptive Runtime ModelsProceedings of the 2015 IEEE/ACM 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1109/SEAMS.2015.20(120-126)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1109/SEAMS.2015.20
Bergen ADesmarais RGanti SStege UMüller HLago PMorisio MMeyer NScanniello G(2014)Towards software-adaptive green computing based on server power consumptionProceedings of the 3rd International Workshop on Green and Sustainable Software10.1145/2593743.2593745(9-16)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1145/2593743.2593745

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