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

87 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
CountryUnited 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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