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- Publisher Website: 10.1109/COMPSAC.2014.72
- Scopus: eid_2-s2.0-84928620660
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Conference Paper: CrowdAdaptor: A Crowd Sourcing Approach toward Adaptive Energy-Efficient Configurations of Virtual Machines Hosting Mobile Applications
Title | CrowdAdaptor: A Crowd Sourcing Approach toward Adaptive Energy-Efficient Configurations of Virtual Machines Hosting Mobile Applications |
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Authors | |
Keywords | Energy optimization Energy saving Mobile energy consumption Postdeployment validation Test harness |
Issue Date | 2014 |
Publisher | IEEE. 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? |
Abstract | Applications 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 Identifier | http://hdl.handle.net/10722/199305 |
ISSN | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Kan, EYY | en_US |
dc.contributor.author | Chan, WK | en_US |
dc.contributor.author | Tse, TH | en_US |
dc.date.accessioned | 2014-07-22T01:13:02Z | - |
dc.date.available | 2014-07-22T01:13:02Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.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 | en_US |
dc.identifier.issn | 0730-3157 | - |
dc.identifier.uri | http://hdl.handle.net/10722/199305 | - |
dc.description.abstract | Applications 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.language | eng | en_US |
dc.publisher | IEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000143 | - |
dc.relation.ispartof | IEEE Annual International Computer Software and Applications Conference Proceedings | en_US |
dc.subject | Energy optimization | - |
dc.subject | Energy saving | - |
dc.subject | Mobile energy consumption | - |
dc.subject | Postdeployment validation | - |
dc.subject | Test harness | - |
dc.title | CrowdAdaptor: A Crowd Sourcing Approach toward Adaptive Energy-Efficient Configurations of Virtual Machines Hosting Mobile Applications | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Chan, WK: rickchan@hkucc.hku.hk | en_US |
dc.identifier.email | Tse, TH: thtse@cs.hku.hk | en_US |
dc.identifier.authority | Tse, TH=rp00546 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/COMPSAC.2014.72 | - |
dc.identifier.scopus | eid_2-s2.0-84928620660 | - |
dc.identifier.hkuros | 230251 | en_US |
dc.identifier.spage | 493 | - |
dc.identifier.epage | 502 | - |
dc.identifier.isi | WOS:000353962400060 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0730-3157 | - |