Contention aware frequency scaling on CMPs with guaranteed quality of service

Hao Shen, Qinru Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Workload consolidation is usually performed in datacenters to improve server utilization for higher energy efficiency. One of the key issues related to workload consolidation is contention for shared resources such as last level cache, main memory, memory controller, etc. Dynamic voltage and frequency scaling (DVFS) of CPU is another effective technique that has widely been used to trade the performance for power reduction. We have found that the degree of resource contention of a system affects its performance sensitivity to CPU frequency. In this paper, we apply machine learning techniques to construct a model that quantifies runtime performance degradation caused by resource contention and frequency scaling. The inputs of our model are readings from Performance Monitoring Units (PMU) screened using standard feature selection technique. The model is tested on an SMT-enabled chip multi-processor and it reaches up to 90% accuracy. Experimental results show that, guided by the performance model, runtime power management techniques such as DVFS can achieve more accurate power and performance tradeoff without violating the quality of service (QoS) agreement. The QoS violation of the proposed system is significantly lower than systems that have no performance degradation information.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe, DATE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9783981537024
DOIs
StatePublished - Jan 1 2014
Event17th Design, Automation and Test in Europe, DATE 2014 - Dresden, Germany
Duration: Mar 24 2014Mar 28 2014

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

Other17th Design, Automation and Test in Europe, DATE 2014
CountryGermany
CityDresden
Period3/24/143/28/14

Keywords

  • consolidation
  • contention
  • frequency scaling
  • power management

ASJC Scopus subject areas

  • Engineering(all)

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