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Quantitative musings on the feasibility of smartphone clouds

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

'Green' and its 'low power' cousin are the new hot spots in computing. In cloud data centers, at scale, ideas of deploying low-power ARM architectures or even large numbers of extremely 'wimpy' nodes [1, 2] seem increasingly appealing. Skeptics on the other hand maintain that we cannot get more than what we pay for and no free lunches can be had. In this paper we explore these theses and provide insights into the power-performance trade-off at scale for 'wimpy', back-to basics, power-efficient RISC architectures. We use ARM as modern proxy for these and quantify the cost/performance ratio precisely-enough to allow for a broader conclusion. We then offer an intuition as to why this may still hold in 2030.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages535-544
Number of pages10
ISBN (Electronic)9781479980062
DOIs
StatePublished - Jul 7 2015
Event15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015 - Shenzhen, China
Duration: May 4 2015May 7 2015

Publication series

NameProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015

Conference

Conference15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
Country/TerritoryChina
CityShenzhen
Period05/4/1505/7/15

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