DocumentCode :
3077842
Title :
Quantitative Musings on the Feasibility of Smartphone Clouds
Author :
Chen Chen ; Ehsan, Moussa ; Sion, Radu
fYear :
2015
fDate :
4-7 May 2015
Firstpage :
535
Lastpage :
544
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.
Keywords :
cloud computing; computer centres; microcontrollers; power aware computing; reduced instruction set computing; smart phones; system-on-chip; Skeptics; cloud data centers; cost-performance ratio; low-power ARM architectures; power-efficient RISC architectures; power-performance; quantitative musings; smart phone clouds; wimpy nodes; Hardware; Mathematical model; Power demand; Program processors; Servers; Sockets; System-on-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CCGrid.2015.115
Filename :
7152519
Link To Document :
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