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Conference Paper: CrowdAdaptor: A Crowd Sourcing Approach toward Adaptive Energy-Efficient Configurations of Virtual Machines Hosting Mobile Applications

TitleCrowdAdaptor: A Crowd Sourcing Approach toward Adaptive Energy-Efficient Configurations of Virtual Machines Hosting Mobile Applications
Authors
Issue Date2014
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000143
Citation
The IEEE 38th Annual Computer Software and Applications Conference (COMPSAC), Vasteras, Sweden, 21-25 July 2014. In IEEE Annual International Computer Software and Applications Conference Proceedings, 2014, p. 493-502 How to Cite?
AbstractApplications written by end-user programmers are hardly energy-optimized by these programmers. The end users of such applications thus suffer significant energy issues. In this paper, we propose CrowdAdaptor, a novel approach toward locating energy-efficient configurations to execute the applications hosted in virtual machines on handheld devices. CrowdAdaptor innovatively makes use of the development artifacts (test cases) and the very large installation base of the same application to distribute the test executions and performance data collection of the whole test suites against many different virtual machine configurations among these installation bases. It synthesizes these data, continuously discovers better energy-efficient configurations, and makes them available to all the installations of the same applications. We report a multi-subject case study on the ability of the framework to discover energy-efficient configurations in three power models. The results show that Crowd Adaptor can achieve up to 50% of energy savings based on a conservative linear power model.
Persistent Identifierhttp://hdl.handle.net/10722/199305
ISSN

 

DC FieldValueLanguage
dc.contributor.authorKan, EYYen_US
dc.contributor.authorChan, WKen_US
dc.contributor.authorTse, THen_US
dc.date.accessioned2014-07-22T01:13:02Z-
dc.date.available2014-07-22T01:13:02Z-
dc.date.issued2014en_US
dc.identifier.citationThe IEEE 38th Annual Computer Software and Applications Conference (COMPSAC), Vasteras, Sweden, 21-25 July 2014. In IEEE Annual International Computer Software and Applications Conference Proceedings, 2014, p. 493-502en_US
dc.identifier.issn0730-3157-
dc.identifier.urihttp://hdl.handle.net/10722/199305-
dc.description.abstractApplications written by end-user programmers are hardly energy-optimized by these programmers. The end users of such applications thus suffer significant energy issues. In this paper, we propose CrowdAdaptor, a novel approach toward locating energy-efficient configurations to execute the applications hosted in virtual machines on handheld devices. CrowdAdaptor innovatively makes use of the development artifacts (test cases) and the very large installation base of the same application to distribute the test executions and performance data collection of the whole test suites against many different virtual machine configurations among these installation bases. It synthesizes these data, continuously discovers better energy-efficient configurations, and makes them available to all the installations of the same applications. We report a multi-subject case study on the ability of the framework to discover energy-efficient configurations in three power models. The results show that Crowd Adaptor can achieve up to 50% of energy savings based on a conservative linear power model.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000143-
dc.relation.ispartofIEEE Annual International Computer Software and Applications Conference Proceedingsen_US
dc.rightsIEEE Annual International Computer Software and Applications Conference Proceedings. Copyright © IEEE.-
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleCrowdAdaptor: A Crowd Sourcing Approach toward Adaptive Energy-Efficient Configurations of Virtual Machines Hosting Mobile Applicationsen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, WK: rickchan@hkucc.hku.hken_US
dc.identifier.emailTse, TH: thtse@cs.hku.hken_US
dc.identifier.authorityTse, TH=rp00546en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/COMPSAC.2014.72-
dc.identifier.hkuros230251en_US
dc.identifier.spage493-
dc.identifier.epage502-
dc.publisher.placeUnited States-

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