Full metadata record
DC FieldValueLanguage
dc.contributor.authorTsao, Shiao-Lien_US
dc.contributor.authorChen, Jian Jhenen_US
dc.date.accessioned2014-12-08T15:23:27Z-
dc.date.available2014-12-08T15:23:27Z-
dc.date.issued2012-08-01en_US
dc.identifier.issn0164-1212en_US
dc.identifier.urihttp://hdl.handle.net/11536/16427-
dc.description.abstractEnergy efficiency has become one of the most important design issues for embedded systems. To examine the power consumption of an embedded system, an energy profiling tool is highly demanded. Although a number of energy profiling tools have been proposed, they are not directly applicable to the embedded processors with power management functions that are widely utilized in battery-operated embedded systems to reduce power consumption. Hence, this study presents a high-level energy profiling tool, called SEProf, that estimates the energy consumption of an embedded system running multithread software and a multitasking operating system (OS) that supports power management functions. This study implements the proposed SEProf in Linux 2.6.19 and evaluates its performance on an ARM11 MPCore processor. Experimental results demonstrate that the proposed tool can provide accurate energy profiling results with a low profiling overhead. (C) 2012 Elsevier Inc. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectEnergy profilingen_US
dc.subjectPower managementen_US
dc.subjectEmbedded processoren_US
dc.subjectPower consumptionen_US
dc.titleSEProf: A high-level software energy profiling tool for an embedded processor enabling power management functionsen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF SYSTEMS AND SOFTWAREen_US
dc.citation.volume85en_US
dc.citation.issue8en_US
dc.citation.epage1757en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000305109300006-
dc.citation.woscount1-
Appears in Collections:Articles


Files in This Item:

  1. 000305109300006.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.