Evaluating energy storage for a multitude of uses in the datacenter

Iyswarya Narayanan, Di Wang, Abdullah Al Mamun, Anand Sivasubramaniam, Hosam K. Fathy, Sean James

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

3 Scopus citations

Abstract

Datacenters often are a power utility's largest consumers, and are expected to participate in several power management scenarios with diverse characteristics in which Energy Storage Devices (ESDs) are expected to play important roles. Different ESD technologies exist, including little explored technologies such as flow batteries, that offer different performance characteristics in cost, size, and environmental impact. While prior works in datacenter ESD literature have considered one of usage aspect, technology, performance metric (typically cost), the whole three-dimensional space is little explored. Towards understanding this design space, this paper presents first such study towards joint characterization of ESD usages based on their provisioning and operating demands, under ideal and realistic ESD technologies, and quantify their impact on datacenter performance. We expect our work can help datacenter operators to characterize this three-dimensional space in a systematic manner, and make design decisions targeted towards cost-effective and environmental impact aware datacenter energy management.

Original languageEnglish (US)
Title of host publicationProceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-21
Number of pages10
ISBN (Electronic)9781538612323
DOIs
StatePublished - Dec 5 2017
Event2017 IEEE International Symposium on Workload Characterization, IISWC 2017 - Seattle, United States
Duration: Oct 1 2017Oct 3 2017

Publication series

NameProceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017
Volume2017-January

Other

Other2017 IEEE International Symposium on Workload Characterization, IISWC 2017
CountryUnited States
CitySeattle
Period10/1/1710/3/17

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Information Systems and Management

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  • Cite this

    Narayanan, I., Wang, D., Mamun, A. A., Sivasubramaniam, A., Fathy, H. K., & James, S. (2017). Evaluating energy storage for a multitude of uses in the datacenter. In Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017 (pp. 12-21). (Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISWC.2017.8167752