Article

A Measurement Study of Server Utilization in Public Clouds

Author:

Huan LiuAuthors Info & Claims

DASC '11: Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing

Pages 435 - 442

https://doi.org/10.1109/DASC.2011.87

Published: 12 December 2011 Publication History

Abstract

Due to a server's non-proportional energy consumption, it is highly desirable to increase server utilization in order to lower energy consumption and minimize environmental impact. To increase the utilization level, we must first understand the current utilization level in the state-of-the-art cloud environment. Towards that goal, we devise a new technique which can be used to measure the CPU utilization in a cloud. We sampled two different infrastructure cloud providers (IaaS or Infrastructure as a Service) on their server utilization. Surprisingly, our results show that there is a significant room for improvement.

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Zhang YRuan CLi CYang XCao WLi FWang BFang JWang YHuo JBi C(2021)Towards cost-effective and elastic cloud database deployment via memory disaggregationProceedings of the VLDB Endowment10.14778/3467861.346787714:10(1900-1912)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.14778/3467861.3467877
Wu XPellegrini FGao GCasale G(2019)A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud ComputingACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/33666824:4(1-31)Online publication date: 6-Dec-2019
https://dl.acm.org/doi/10.1145/3366682
Guo JChang ZWang SDing HFeng YMao LBao Y(2019)Who limits the resource efficiency of my datacenterProceedings of the International Symposium on Quality of Service10.1145/3326285.3329074(1-10)Online publication date: 24-Jun-2019
https://dl.acm.org/doi/10.1145/3326285.3329074
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Index Terms

A Measurement Study of Server Utilization in Public Clouds
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
2. Networks
  1. Network performance evaluation

Index terms have been assigned to the content through auto-classification.

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DASC '11: Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing

December 2011

1259 pages

ISBN:9780769546124

Publisher

IEEE Computer Society

United States

Publication History

Published: 12 December 2011

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Zhang YRuan CLi CYang XCao WLi FWang BFang JWang YHuo JBi C(2021)Towards cost-effective and elastic cloud database deployment via memory disaggregationProceedings of the VLDB Endowment10.14778/3467861.346787714:10(1900-1912)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.14778/3467861.3467877
Wu XPellegrini FGao GCasale G(2019)A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud ComputingACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/33666824:4(1-31)Online publication date: 6-Dec-2019
https://dl.acm.org/doi/10.1145/3366682
Guo JChang ZWang SDing HFeng YMao LBao Y(2019)Who limits the resource efficiency of my datacenterProceedings of the International Symposium on Quality of Service10.1145/3326285.3329074(1-10)Online publication date: 24-Jun-2019
https://dl.acm.org/doi/10.1145/3326285.3329074
Javadi SBhaskara SDoshi RSoundarapandian PWajahat MGandhi A(2018)Application-Agnostic Batch Workload Management in Cloud EnvironmentsProceedings of the ACM Symposium on Cloud Computing10.1145/3267809.3275446(504-504)Online publication date: 11-Oct-2018
https://dl.acm.org/doi/10.1145/3267809.3275446
Khan KHirki MNiemi TNurminen JOu Z(2018)RAPL in ActionACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/31777543:2(1-26)Online publication date: 22-Mar-2018
https://dl.acm.org/doi/10.1145/3177754
Briongos SMalagón PRisco JMoya J(2017)Building accurate models to determine the current CPU utilization of a host within a virtual machine allocated on itProceedings of the Summer Simulation Multi-Conference10.5555/3140065.3140098(1-12)Online publication date: 9-Jul-2017
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Iglesias JAroca JHilt VLugones DJayaram KGandhi AKemme BPietzuch P(2017)ORCAProceedings of the 18th ACM/IFIP/USENIX Middleware Conference10.1145/3135974.3135982(81-94)Online publication date: 11-Dec-2017
https://dl.acm.org/doi/10.1145/3135974.3135982
Marathe YGulur NRyoo JSong SJohn LHunter HMoreno JEmer JSanchez D(2017)CSALTProceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture10.1145/3123939.3124549(449-462)Online publication date: 14-Oct-2017
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Podzimek ABulej LChen LBinder WTma P(2017)Reprint of Robust partial-load experiments with ShowstopperFuture Generation Computer Systems10.1016/j.future.2016.11.01372:C(81-104)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.future.2016.11.013
Zhao YLi SHu SWang HYao SShao HAbdelzaher T(2016)An experimental evaluation of datacenter workloads on low-power embedded micro serversProceedings of the VLDB Endowment10.14778/2947618.29476259:9(696-707)Online publication date: 1-May-2016
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Improving Utilization of Infrastructure Clouds

Building safe PaaS clouds: A survey on security in multitenant software platforms

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