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Performance tuning of distributed applications with CoSMoS
Performance monitoring of distributed software executing on workstation cluster systems is a complex task because of the multitude of factors that can affect performance in these environments. For performance analysis to be done effectively, all runtime events which have an impact on performance hav...
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creator | Steigner, C. Wilke, J. |
description | Performance monitoring of distributed software executing on workstation cluster systems is a complex task because of the multitude of factors that can affect performance in these environments. For performance analysis to be done effectively, all runtime events which have an impact on performance have to be captured. We introduce an integrated monitoring system that is capable of recording performance data on the application level, the operating system level, and the network level. It is thus able to provide complete coverage of all subsystems relevant to application performance. One of the key features of the proposed monitoring system is its ability to correlate performance data with application source code, pointing the developer to the portions of his code that may be time-critical. The system thus supports a cyclic process of optimizing performance in multiple iterations of analysis and refinement. This method allows performance bottlenecks to be tracked down to source code instruction level. |
doi_str_mv | 10.1109/ICDSC.2001.918946 |
format | conference_proceeding |
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For performance analysis to be done effectively, all runtime events which have an impact on performance have to be captured. We introduce an integrated monitoring system that is capable of recording performance data on the application level, the operating system level, and the network level. It is thus able to provide complete coverage of all subsystems relevant to application performance. One of the key features of the proposed monitoring system is its ability to correlate performance data with application source code, pointing the developer to the portions of his code that may be time-critical. The system thus supports a cyclic process of optimizing performance in multiple iterations of analysis and refinement. 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For performance analysis to be done effectively, all runtime events which have an impact on performance have to be captured. We introduce an integrated monitoring system that is capable of recording performance data on the application level, the operating system level, and the network level. It is thus able to provide complete coverage of all subsystems relevant to application performance. One of the key features of the proposed monitoring system is its ability to correlate performance data with application source code, pointing the developer to the portions of his code that may be time-critical. The system thus supports a cyclic process of optimizing performance in multiple iterations of analysis and refinement. This method allows performance bottlenecks to be tracked down to source code instruction level.</description><subject>Application software</subject><subject>Availability</subject><subject>Communication system software</subject><subject>Computerized monitoring</subject><subject>Operating systems</subject><subject>Performance analysis</subject><subject>Runtime</subject><subject>Software performance</subject><subject>Software tools</subject><subject>Workstations</subject><isbn>0769510779</isbn><isbn>9780769510774</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj9FKwzAUQAMiqHMfoE_5gdbc5jZpfJOqczBRqD6P2zbRyNaUJEP8e4V5Xs7bgcPYFYgSQJibdXvftWUlBJQGGoPqhF0IrUwNQmtzxpYpfYk_sIYG4ZzdvtroQtzTNFieD5OfPnhwfPQpR98fsh05zfPOD5R9mBL_9vmTt6F7Dt0lO3W0S3b57wV7f3x4a5-Kzctq3d5tCg8Cc9EjENYaLJGupFZATqpKKSNGEuj6pkesG9cY6wiJ5NAbZ6oKJZiBFI5ywa6PXW-t3c7R7yn-bI938hfbkUV7</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Steigner, C.</creator><creator>Wilke, J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2001</creationdate><title>Performance tuning of distributed applications with CoSMoS</title><author>Steigner, C. ; Wilke, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-b41a4571eaa723761af3626690da04fb8b4458f89efa4aa3cb9f9224319ca64d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Application software</topic><topic>Availability</topic><topic>Communication system software</topic><topic>Computerized monitoring</topic><topic>Operating systems</topic><topic>Performance analysis</topic><topic>Runtime</topic><topic>Software performance</topic><topic>Software tools</topic><topic>Workstations</topic><toplevel>online_resources</toplevel><creatorcontrib>Steigner, C.</creatorcontrib><creatorcontrib>Wilke, J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Steigner, C.</au><au>Wilke, J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance tuning of distributed applications with CoSMoS</atitle><btitle>Proceedings 21st International Conference on Distributed Computing Systems</btitle><stitle>ICDCS</stitle><date>2001</date><risdate>2001</risdate><spage>173</spage><epage>180</epage><pages>173-180</pages><isbn>0769510779</isbn><isbn>9780769510774</isbn><abstract>Performance monitoring of distributed software executing on workstation cluster systems is a complex task because of the multitude of factors that can affect performance in these environments. For performance analysis to be done effectively, all runtime events which have an impact on performance have to be captured. We introduce an integrated monitoring system that is capable of recording performance data on the application level, the operating system level, and the network level. It is thus able to provide complete coverage of all subsystems relevant to application performance. One of the key features of the proposed monitoring system is its ability to correlate performance data with application source code, pointing the developer to the portions of his code that may be time-critical. The system thus supports a cyclic process of optimizing performance in multiple iterations of analysis and refinement. This method allows performance bottlenecks to be tracked down to source code instruction level.</abstract><pub>IEEE</pub><doi>10.1109/ICDSC.2001.918946</doi><tpages>8</tpages></addata></record> |
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identifier | ISBN: 0769510779 |
ispartof | Proceedings 21st International Conference on Distributed Computing Systems, 2001, p.173-180 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Application software Availability Communication system software Computerized monitoring Operating systems Performance analysis Runtime Software performance Software tools Workstations |
title | Performance tuning of distributed applications with CoSMoS |
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