Analysis of Software Aging in a Web Server.
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| Title: | Analysis of Software Aging in a Web Server. |
|---|---|
| Authors: | Grottke, Michael1 grottke@ee.duke.edu, Lei Li2 leili@freescale.com, Vaidyanathan, Kalyanaraman3 kalyan.vaidyanathan@sun.com, Trivedi, Kishor S.1 kst@ee.duke.edu |
| Source: | IEEE Transactions on Reliability. Sep2006, Vol. 55 Issue 3, p411-420. 10p. 4 Charts, 7 Graphs. |
| Subjects: | Web server software, Linux operating systems, Electronic systems, World Wide Web, Computer systems, Computer programming |
| Abstract: | Several recent studies have reported & examined the phenomenon that long-running software systems show an increasing failure rate and/or a progressive degradation of their performance. Causes of this phenomenon, which has been referred to as ‘software aging’, are the accumulation of internal error conditions, and the depletion of operating system resources. A proactive technique called ‘software rejuvenation’ has been proposed as a way to counteract software aging. It involves occasionally terminating the software application, cleaning its internal state and/or its environment, and then restarting it. Due to the costs incurred by software rejuvenation, an important question is when to schedule this action. While periodic rejuvenation at constant time intervals is straightforward to implement, it may not yield the best results. The rate at which software ages is usually not constant, but it depends on the time-varying system workload. Software rejuvenation should therefore be planned & initiated in the face of the actual system behavior. This requires the measurement, analysis, and prediction of system resource usage. In this paper, we study the development of resource usage in a web server while subjecting it to an artificial workload. We first collect data on several system resource usage & activity parameters. Non-parametric statistical methods are then applied toward detecting & estimating trends in the data sets. Finally, we fit time series models to the data collected. Unlike the models used previously in the research on software aging, these time series models allow for seasonal patterns, and we show how the exploitation of the seasonal variation can help in adequately predicting the future resource usage. Based on the models employed here, proactive management techniques like software rejuvenation triggered by actual measurements can be built. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Reliability is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Analysis of Software Aging in a Web Server. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Grottke%2C+Michael%22">Grottke, Michael</searchLink><relatesTo>1</relatesTo><i> grottke@ee.duke.edu</i><br /><searchLink fieldCode="AR" term="%22Lei+Li%22">Lei Li</searchLink><relatesTo>2</relatesTo><i> leili@freescale.com</i><br /><searchLink fieldCode="AR" term="%22Vaidyanathan%2C+Kalyanaraman%22">Vaidyanathan, Kalyanaraman</searchLink><relatesTo>3</relatesTo><i> kalyan.vaidyanathan@sun.com</i><br /><searchLink fieldCode="AR" term="%22Trivedi%2C+Kishor+S%2E%22">Trivedi, Kishor S.</searchLink><relatesTo>1</relatesTo><i> kst@ee.duke.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Reliability%22">IEEE Transactions on Reliability</searchLink>. Sep2006, Vol. 55 Issue 3, p411-420. 10p. 4 Charts, 7 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Web+server+software%22">Web server software</searchLink><br /><searchLink fieldCode="DE" term="%22Linux+operating+systems%22">Linux operating systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+systems%22">Electronic systems</searchLink><br /><searchLink fieldCode="DE" term="%22World+Wide+Web%22">World Wide Web</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Several recent studies have reported & examined the phenomenon that long-running software systems show an increasing failure rate and/or a progressive degradation of their performance. Causes of this phenomenon, which has been referred to as ‘software aging’, are the accumulation of internal error conditions, and the depletion of operating system resources. A proactive technique called ‘software rejuvenation’ has been proposed as a way to counteract software aging. It involves occasionally terminating the software application, cleaning its internal state and/or its environment, and then restarting it. Due to the costs incurred by software rejuvenation, an important question is when to schedule this action. While periodic rejuvenation at constant time intervals is straightforward to implement, it may not yield the best results. The rate at which software ages is usually not constant, but it depends on the time-varying system workload. Software rejuvenation should therefore be planned & initiated in the face of the actual system behavior. This requires the measurement, analysis, and prediction of system resource usage. In this paper, we study the development of resource usage in a web server while subjecting it to an artificial workload. We first collect data on several system resource usage & activity parameters. Non-parametric statistical methods are then applied toward detecting & estimating trends in the data sets. Finally, we fit time series models to the data collected. Unlike the models used previously in the research on software aging, these time series models allow for seasonal patterns, and we show how the exploitation of the seasonal variation can help in adequately predicting the future resource usage. Based on the models employed here, proactive management techniques like software rejuvenation triggered by actual measurements can be built. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Reliability is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TR.2006.879609 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 411 Subjects: – SubjectFull: Web server software Type: general – SubjectFull: Linux operating systems Type: general – SubjectFull: Electronic systems Type: general – SubjectFull: World Wide Web Type: general – SubjectFull: Computer systems Type: general – SubjectFull: Computer programming Type: general Titles: – TitleFull: Analysis of Software Aging in a Web Server. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Grottke, Michael – PersonEntity: Name: NameFull: Lei Li – PersonEntity: Name: NameFull: Vaidyanathan, Kalyanaraman – PersonEntity: Name: NameFull: Trivedi, Kishor S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2006 Type: published Y: 2006 Identifiers: – Type: issn-print Value: 00189529 Numbering: – Type: volume Value: 55 – Type: issue Value: 3 Titles: – TitleFull: IEEE Transactions on Reliability Type: main |
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