DocumentCode
2441186
Title
Green mining: Investigating power consumption across versions
Author
Hindle, Abram
Author_Institution
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
fYear
2012
fDate
2-9 June 2012
Firstpage
1301
Lastpage
1304
Abstract
Power consumption is increasingly becoming a concern for not only electrical engineers, but for software engineers as well, due to the increasing popularity of new power-limited contexts such as mobile-computing, smart-phones and cloud-computing. Software changes can alter software power consumption behaviour and can cause power performance regressions. By tracking software power consumption we can build models to provide suggestions to avoid power regressions. There is much research on software power consumption, but little focus on the relationship between software changes and power consumption. Most work measures the power consumption of a single software task; instead we seek to extend this work across the history (revisions) of a project. We develop a set of tests for a well established product and then run those tests across all versions of the product while recording the power usage of these tests. We provide and demonstrate a methodology that enables the analysis of power consumption performance for over 500 nightly builds of Firefox 3.6; we show that software change does induce changes in power consumption. This methodology and case study are a first step towards combining power measurement and mining software repositories research, thus enabling developers to avoid power regressions via power consumption awareness.
Keywords
data mining; environmental factors; power aware computing; power consumption; software engineering; Firefox 3.6; cloud-computing; green mining; mobile-computing; power regressions; smart-phones; software engineers; software power consumption behaviour; software repositories research; Air pollution; Data mining; Fires; Green products; Power demand; Power measurement; Software; dynamic analysis; mining software repositories; power; power consumption; sustainable-software;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2012 34th International Conference on
Conference_Location
Zurich
ISSN
0270-5257
Print_ISBN
978-1-4673-1066-6
Electronic_ISBN
0270-5257
Type
conf
DOI
10.1109/ICSE.2012.6227094
Filename
6227094
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