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PowerTracer: tracing requests in multi-tier services to diagnose energy inefficiency

Published: 18 September 2012 Publication History

Abstract

As energy has become one of the key operating costs in running a data center and power waste commonly exists, it is essential to observe and reduce energy inefficiency inside data centers. In this paper, we develop an innovative framework, called PowerTracer, for diagnosing energy-inefficiency. Inside the framework, we first present a resource tracing method based on request tracing in multi-tier services of black boxes. Then, we propose a generalized methodology of applying a request tracing approach for energy-inefficiency diagnosis in multi-tier service systems. With insights into service performance and resource consumption of individual requests, we develop a bottleneck diagnosis tool that pinpoints the root causes of energy inefficiency. We implement the prototype and conduct experiments to validate its effectiveness.

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Cited By

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  • (2019)Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New TrendsSensors10.3390/s1922486419:22(4864)Online publication date: 8-Nov-2019
  • (2015)PowerTracer: Tracing Requests in Multi-Tier Services to Reduce Energy InefficiencyIEEE Transactions on Computers10.1109/TC.2014.231562564:5(1389-1401)Online publication date: 1-May-2015
  • (2015)Tell-tale tailsProceedings of the 2015 Sixth International Green and Sustainable Computing Conference (IGSC)10.1109/IGCC.2015.7393717(1-8)Online publication date: 14-Dec-2015
  • Show More Cited By

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cover image ACM Conferences
ICAC '12: Proceedings of the 9th international conference on Autonomic computing
September 2012
222 pages
ISBN:9781450315203
DOI:10.1145/2371536
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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New York, NY, United States

Publication History

Published: 18 September 2012

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Author Tags

  1. debugging energy inefficiency
  2. multi-tier web server
  3. request tracing
  4. saving power

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ICAC '12
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ICAC '12: 9th International Conference on Autonomic Computing
September 18 - 20, 2012
California, San Jose, USA

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Cited By

View all
  • (2019)Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New TrendsSensors10.3390/s1922486419:22(4864)Online publication date: 8-Nov-2019
  • (2015)PowerTracer: Tracing Requests in Multi-Tier Services to Reduce Energy InefficiencyIEEE Transactions on Computers10.1109/TC.2014.231562564:5(1389-1401)Online publication date: 1-May-2015
  • (2015)Tell-tale tailsProceedings of the 2015 Sixth International Green and Sustainable Computing Conference (IGSC)10.1109/IGCC.2015.7393717(1-8)Online publication date: 14-Dec-2015
  • (2013)AxPUE: Application level metrics for power usage effectiveness in data centers2013 IEEE International Conference on Big Data10.1109/BigData.2013.6691705(110-117)Online publication date: Oct-2013

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