DocumentCode :
1926457
Title :
Synergy: A Middleware for Energy Conservation in Mobile Devices
Author :
Kharbanda, Harshit ; Krishnan, Manoj ; Campbell, Roy H.
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2012
fDate :
24-28 Sept. 2012
Firstpage :
54
Lastpage :
62
Abstract :
The combined effect of Moore´s law and the failure of Den nard scaling have led to multi-core mobile devices with immense computation capabilities. The biggest limitation of the computation capability for any mobile device is its battery. Mobile cloud computing is used to offload compute intensive tasks that affect a mobile device´s battery. Mobile ad-hoc computing can be used as an alternative to mobile cloud computing in cases where cloud access is not available or is inhibitive to application performance, although battery drain remains a critical argument against mobile ad-hoc computing. In this paper, we present Synergy, a middleware that increases the battery life for a system of mobile devices connected in a peer-to-peer ad-hoc network. Synergy conserves energy by scaling core frequencies and by intelligently distributing the computation among peer devices. The middleware is not restricted to mobile phones and in no way restricts the mobility of the devices. Synergy considers the mobile devices connected in a peer-to-peer fashion as a single multicore device with Wifi as the interconnect. With Synergy running on Google Nexus phones we were able to conserve up to 30.6% of the system battery while incurring a latency penalty of less than 5%.
Keywords :
middleware; mobile computing; power aware computing; Den nard scaling; Google Nexus phones; Moores law; Synergy; battery drain; energy conservation; middleware; mobile adhoc computing; mobile cloud computing; mobile device battery; mobile devices; multicore mobile devices; peer devices; peer-to-peer ad-hoc network; scaling core frequencies; Batteries; Energy consumption; Equations; Mobile communication; Mobile handsets; Peer to peer computing; Servers; Energy Conservation; Middleware; Mobile devices; Power Conservation; frequency scaling; voltage scaling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing (CLUSTER), 2012 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2422-9
Type :
conf
DOI :
10.1109/CLUSTER.2012.64
Filename :
6337856
Link To Document :
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