Profiling, prediction, and capping of power consumption in consolidated environments

Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar, Anand Sivasubramaniam

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

62 Scopus citations

Abstract

Consolidation of workloads has emerged as a key mechanism to dampen the rapidly growing energy expenditure within enterprise-scale data centers. To gainfully utilize consolidation-based techniques, we must be able to characterize the power consumption of groups of co-located applications. Such characterization is crucial for effective prediction and enforcement of appropriate limits on power consumption - power budgets - within the data center. We identify two kinds of power budgets (i) an average budget to capture an upper bound on long-term energy consumption within that level and (ii) a sustained budget to capture any restrictions on sustained draw of current above a certain threshold. Using a simple measurement infrastructure, we derive power profiles - statistical descriptions of the power consumption of applications. Based on insights gained from detailed profiling of several applications - both individual and consolidated - we develop models for predicting average and sustained power consumption of consolidated applications. We conduct an experimental evaluation of our techniques on a Xen-based server that consolidates applications drawn from a diverse pool. For a variety of consolidation scenarios, We are able to predict average power consumption within 5% error margin and sustained power within 10% error margin. Our sustained power prediction techniques allow us to predict close yet safe upper bounds on the sustained power consumption of consolidated applications.

Original languageEnglish (US)
Title of host publication2008 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS - Baltimore, MD, United States
Duration: Sep 8 2008Sep 10 2008

Publication series

Name2008 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS

Other

Other2008 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS
CountryUnited States
CityBaltimore, MD
Period9/8/089/10/08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Choi, J., Govindan, S., Urgaonkar, B., & Sivasubramaniam, A. (2008). Profiling, prediction, and capping of power consumption in consolidated environments. In 2008 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS [4770558] (2008 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS). https://doi.org/10.1109/MASCOT.2008.4770558