research-article

Minimizing data center cooling and server power costs

Authors:

Ehsan Pakbaznia,

Massoud PedramAuthors Info & Claims

ISLPED '09: Proceedings of the 2009 ACM/IEEE international symposium on Low power electronics and design

Pages 145 - 150

https://doi.org/10.1145/1594233.1594268

Published: 19 August 2009 Publication History

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Abstract

This paper focuses on power minimization in a data center accounting for both the information technology equipment and the air conditioning power usage. In particular we address the server consolidation (on/off state assignment) concurrently with the task assignment. We formulate the resulting optimization problem as an Integer Linear Programming problem and present a heuristic algorithm that solves it in polynomial time. Experimental results show an average of 13% power saving for different data center utilization rates compared to a baseline task assignment technique, which does not perform server consolidation.

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Wang YYan YLiu WChen SWang ZDing ZWei X(2024)Temporal Forecasting for IT Power Demand of Data Center2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)10.1109/ICPSAsia61913.2024.10761478(754-759)Online publication date: 9-Jul-2024
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Bhattacharya TTanniru VMajumder SVeeramalla S(2024)Enhancing the Energy Efficiency with DURGA, a Novel Geographical Load Balancer2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)10.1109/CCGridW63211.2024.00029(180-190)Online publication date: 6-May-2024
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Minimizing data center cooling and server power costs

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Published In

ISLPED '09: Proceedings of the 2009 ACM/IEEE international symposium on Low power electronics and design

August 2009

452 pages

ISBN:9781605586847

DOI:10.1145/1594233

General Chairs:
Jörg Henkel
University of Karlsruhe
,
Ali Keshavarzi
Taiwan Semiconductor Manufacturing Company
,
Program Chairs:
Naehyuck Chang
Seoul National University
,
Tahir Ghani
Intel Corporation

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: 19 August 2009

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ISLPED'09: International Symposium on Low Power Electronics and Design

August 19 - 21, 2009

CA, San Fancisco, USA

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ISLPED '09 Paper Acceptance Rate 72 of 208 submissions, 35%;

Overall Acceptance Rate 398 of 1,159 submissions, 34%

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https://doi.org/10.1109/ICPSAsia61913.2024.10761478
Singh VKehkeshan Jallal SDas S(2024)Managing Cloud Networks: A Classification of SDN-Enabled Clouds2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)10.1109/IC2PCT60090.2024.10486787(824-827)Online publication date: 9-Feb-2024
https://doi.org/10.1109/IC2PCT60090.2024.10486787
Bhattacharya TTanniru VMajumder SVeeramalla S(2024)Enhancing the Energy Efficiency with DURGA, a Novel Geographical Load Balancer2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)10.1109/CCGridW63211.2024.00029(180-190)Online publication date: 6-May-2024
https://doi.org/10.1109/CCGridW63211.2024.00029
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Kaushik KNaik V(2023)OCSRL: An Model-Based Reinforcement Learning Approach to Optimize Energy Consumption of Cooling Systems2023 IEEE 19th International Conference on e-Science (e-Science)10.1109/e-Science58273.2023.10254663(1-10)Online publication date: 9-Oct-2023
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Recommendations

Zero-Cost, Fine-Grained Power Monitoring of Datacenters Using Non-Intrusive Power Disaggregation

Power efficient server consolidation for Cloud data center

Variation-aware Server Placement and Task Assignment for Data Center Power Minimization

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