Improving throughput via slowdowns

Maayan Goldstein, Onn Shehory, Rachel Tzoref-Brill, Shmuel Ur

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Many service-oriented systems are not well equipped to guarantee that service time is optimized. We have specifically examined two industrial systems which implement service-oriented architectures in real, field environments. We discovered that both were not engineered to properly address surges in service request rate. In the absence of an integral solution, it is difficult and costly to (re-) engineer such a solution in the field. The challenge faced by this study was to deliver a low cost solution, without re-engineering the target systems. This paper introduces such a generic solution. The solution slows-down some components to deliver improvement in request service time. It was implemented, tested, and successfully applied to two industrial systems with no need to modify their logic or architecture. Experiments with those systems exhibited significant improvement in performance. These results have validated our solution and its industrial applicability across systems and environments.

Original languageEnglish
Title of host publicationICSE 2010 - Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering
Number of pages10
StatePublished - 2010
Externally publishedYes
Event32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010 - Cape Town, South Africa
Duration: 1 May 20108 May 2010

Publication series

NameProceedings - International Conference on Software Engineering
ISSN (Print)0270-5257


Conference32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
Country/TerritorySouth Africa
CityCape Town


  • automated performance management
  • self-managing systems


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