Capping the brown energy consumption of internet services at low cost

Kien Le, Ricardo Bianchini, Thu D. Nguyen, Ozlem Bilgir, Margaret Martonosi

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

88 Scopus citations

Abstract

The large amount of energy consumed by Internet services represents significant and fast-growing financial and environmental costs. Increasingly, services are exploring dynamic methods to minimize energy costs while respecting their service-level agreements (SLAs). Furthermore, it will soon be important for these services to manage their usage of "brown energy" (produced via carbon-intensive means) relative to renewable or "green" energy. This paper introduces a general, optimization-based framework for enabling multi-data-center services to manage their brown energy consumption and lever-age green energy, while respecting their SLAs and minimizing energy costs. Based on the framework, we propose a policy for request distribution across the data centers. Our policy can be used to abide by caps on brown energy consumption, such as those that might arise from Kyoto-style carbon limits, from corporate pledges on carbon-neutrality, or from limits imposed on services to encourage brown energy conservation. We evaluate our framework and policy extensively through simulations and real experiments. Our results show how our policy allows a service to trade off consumption and cost. For example, using our policy, the service can reduce brown energy consumption by 24% for only a 10% increase in cost, while still abiding by SLAs.

Original languageEnglish (US)
Title of host publication2010 International Conference on Green Computing, Green Comp 2010
Pages3-14
Number of pages12
DOIs
StatePublished - Nov 24 2010
Event2010 International Conference on Green Computing, Green Comp 2010 - Chicago, IL, United States
Duration: Aug 15 2010Aug 18 2010

Publication series

Name2010 International Conference on Green Computing, Green Comp 2010

Other

Other2010 International Conference on Green Computing, Green Comp 2010
Country/TerritoryUnited States
CityChicago, IL
Period8/15/108/18/10

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

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