NDLI: Profile-guided Java program partitioning for power aware computing

Content Provider	IEEE Xplore Digital Library
Author	Tallam, Sriraman Gupta, Rajiv
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Arizona Univ., Tucson, AZ, USA (Sriraman Tallam; Rajiv Gupta)
Abstract	Summary form only given. In embedded devices, like PDAs, limited battery power presents a bottleneck while running power-hungry applications. Hence, it is important for such applications to be energy aware. Consider a scenario where the embedded device is wirelessly linked to a tethered server and can exploit the computing cycles in it. This presents an opportunity to execute parts of an application remotely and reduce computing energy on the embedded device. However, such a scheme is limited by the transmission energy needed in transferring program parts to be executed remotely. We present a fast profile-guided partitioning algorithm that can choose the program parts that can be executed remotely and save energy on the embedded device. We argue that the partitioning might have to be done on the client device more than once and hence the need for a efficient algorithm. We have chosen Java programs in particular because of their widespread use in embedded applications. Experiments show that our approach can conserve energy in embedded devices from 29% to 43%.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Parallel Processing
File Size	1395826
File Format	PDF
ISBN	0769521320
DOI	10.1109/IPDPS.2004.1303144
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Java Partitioning algorithms Mobile computing Embedded computing Mobile communication Network servers Batteries Application software Computer science Personal digital assistants
Content Type	Text
Resource Type	Article

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