Environment-sensitive performance tuning for distributed service orchestration

Yu Lin, Franjo Ivančić, Pallavi Joshi, Gogul Balakrishnan, Malay Ganai, Aarti Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Modern distributed systems are designed to tolerate unreliable environments, i.e., they aim to provide services even when some failures happen in the underlying hardware or network. However, the impact of unreliable environments can be significant on the performance of the distributed systems, which should be considered when deploying the services. In this paper, we present an approach to optimize performance of the distributed systems under unreliable deployed environments, through searching for optimal configuration parameters. To simulate an unreliable environment, we inject several failures in the environment of a service application, such as a node crash in the cluster, network failures between nodes, resource contention in nodes, etc. Then, we use a search algorithm to find the optimal parameters automatically in the user-selected parameter space, under the unreliable environment we created.We have implemented our approach in a testing-based framework and applied it to several well-known distributed service systems.

Original languageEnglish (US)
Title of host publicationHigh Performance Computing for Computational Science - VECPAR 2014 - 11th International Conference, Revised Selected Papers
EditorsOsni Marques, Michel Dayde, Kengo Nakajima
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9783319173528
StatePublished - 2015
Event11th International Conference on High Performance Computing for Computational Science, VECPAR 2014 - Eugene, United States
Duration: Jun 30 2014Jul 3 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th International Conference on High Performance Computing for Computational Science, VECPAR 2014
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • Distributed application
  • Disturbance action
  • Performance optimization


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