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Adaptivity metric and performance for restart strategies in web services reliable messaging
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Workshop on Software and Performance archive
Proceedings of the 7th international workshop on Software and performance table of contents
Princeton, NJ, USA
SESSION: Enhancing run-time performance table of contents
Pages 201-212  
Year of Publication: 2008
ISBN:978-1-59593-873-2
Authors
Philipp Reinecke  Humboldt-Universität zu Berlin, Berlin, Germany
Katinka Wolter  Humboldt-Universität zu Berlin, Berlin, Germany
Sponsors
SIGSOFT: ACM Special Interest Group on Software Engineering
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Adaptivity, the ability of a system to adapt itself to its environment, is a key property of autonomous systems. In his paper we propose a benefit-based framework for the efinition of metrics to measure adaptivity. We demonstrate the application of the framework in a case study of the adaptivity of restart strategies for Web Services Reliable Messaging (WSRM). Using the framework, we define two adaptivity metrics for a fault-injection-driven evaluation of the adaptivity of three restart strategies in aWSRM implementation. The adaptivity measurements are complemented by a thorough discussion of the performance of the restart strategies.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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P. Reinecke, A. P. A. van Moorsel, and K. Wolter. A Measurement Study of the Interplay Between Application Level Restart and Transport Protocol. In M. Malek, M. Reitenspieß, and J. Kaiser, editors, ISAS, volume 3335 of Lecture Notes in Computer Science, pages 86--100. Springer, 2004.
 
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P. Reinecke, A. P. A. van Moorsel, and K. Wolter. Experimental Analysis of the Correlation of HTTP GET Invocations. In A. Horv´ath and M. Telek, editors, EPEW, volume 4054 of Lecture Notes in Computer Science, pages 226--237. Springer, 2006.
 
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Collaborative Colleagues:
Philipp Reinecke: colleagues
Katinka Wolter: colleagues