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Conference Paper: Slope-based sequencing yardstick for analyzing unsatisfactory performance of multithreaded programs: an SSYAU trend estimation approach to performance bug localization

TitleSlope-based sequencing yardstick for analyzing unsatisfactory performance of multithreaded programs: an SSYAU trend estimation approach to performance bug localization
Authors
Keywordsperformance bug
model-based approach
multithreaded program
bug localization
Issue Date2015
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000143
Citation
Proceedings of the 39th IEEE Annual Computers, Software and Applications Conference (COMPSAC 2015), Taichung, Taiwan, 1-5 July 2015, v. 1, p. 11-16 How to Cite?
AbstractAs users are increasingly concerned about energy efficiency, they are also increasingly intolerant of performance anomalies of programs that may cause significant energy waste. Bug localization is a bottleneck in the development of multithreaded programs. Although both static and dynamic performance bug localization techniques have been proposed, they cannot handle performance anomalies with unforeseen patterns, and cannot work well if the concept of performance anomaly is fuzzy or evolves over time for the same program. We propose a novel model-based approach to performance bug localization. The approach is based on curve fitting and trend estimation over program executions with performance data. We describe our trend estimation model and illustrate it with the result of a case study on locating three real-world performance bugs in MySQL.
DescriptionConference theme: Mobile and Cloud Systems - Challenges and Applications
Persistent Identifierhttp://hdl.handle.net/10722/220636
ISSN
2020 SCImago Journal Rankings: 0.216
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChan, WK-
dc.contributor.authorTse, TH-
dc.contributor.authorWu, S-
dc.contributor.authorYu, YT-
dc.contributor.authorZhang, Z-
dc.date.accessioned2015-10-16T06:47:53Z-
dc.date.available2015-10-16T06:47:53Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the 39th IEEE Annual Computers, Software and Applications Conference (COMPSAC 2015), Taichung, Taiwan, 1-5 July 2015, v. 1, p. 11-16-
dc.identifier.issn0730-3157-
dc.identifier.urihttp://hdl.handle.net/10722/220636-
dc.descriptionConference theme: Mobile and Cloud Systems - Challenges and Applications-
dc.description.abstractAs users are increasingly concerned about energy efficiency, they are also increasingly intolerant of performance anomalies of programs that may cause significant energy waste. Bug localization is a bottleneck in the development of multithreaded programs. Although both static and dynamic performance bug localization techniques have been proposed, they cannot handle performance anomalies with unforeseen patterns, and cannot work well if the concept of performance anomaly is fuzzy or evolves over time for the same program. We propose a novel model-based approach to performance bug localization. The approach is based on curve fitting and trend estimation over program executions with performance data. We describe our trend estimation model and illustrate it with the result of a case study on locating three real-world performance bugs in MySQL.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000143-
dc.relation.ispartofIEEE Annual Computer Software and Applications Conference (COMPSAC) Proceedings-
dc.rightsIEEE Annual Computer Software and Applications Conference (COMPSAC) Proceedings. Copyright © IEEE.-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectperformance bug-
dc.subjectmodel-based approach-
dc.subjectmultithreaded program-
dc.subjectbug localization-
dc.titleSlope-based sequencing yardstick for analyzing unsatisfactory performance of multithreaded programs: an SSYAU trend estimation approach to performance bug localization-
dc.typeConference_Paper-
dc.identifier.emailTse, TH: thtse@cs.hku.hk-
dc.identifier.authorityTse, TH=rp00546-
dc.identifier.doi10.1109/COMPSAC.2015.193-
dc.identifier.scopuseid_2-s2.0-84962376842-
dc.identifier.hkuros255817-
dc.identifier.volume1-
dc.identifier.spage11-
dc.identifier.epage16-
dc.identifier.isiWOS:000380586400003-
dc.publisher.placeUnited States-
dc.identifier.issnl0730-3157-

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