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Exploring Simulation-Based Configuration Decisions

  • Michael Smit
  • Eleni Stroulia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6470)

Abstract

As service compositions grow larger and more complex, so does the challenge of configuring the underlying hardware infrastructure on which the component services are deployed. With more configuration options (virtualized systems, cloud-based systems, etc.), the challenge grows more difficult. Configuring service-oriented systems involves balancing a competing set of priorities and choosing trade-offs to achieve high-priority goals. We describe a simulation-based methodology for supporting administrators in making these decisions by providing them with relevant information obtained using inexpensive simulation-generated data. From our existing services-aware simulation framework, we generated millions of performance metrics for a given system in varying configurations. We describe how we structured our simulation experiments to answer specific questions such as optimal service distribution across multiple servers; we relate a general methodology for assisting administrators in balancing trade-offs; and we present results establishing benchmarks for the cost and performance improvements we can expect from run-time configuration adaptation for this application.

Keywords

Service Composition Component Service Service Orient Computing Orient Computing Ternational Workshop 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Smit, M., Nisbet, A., Stroulia, E., Edgar, A., Iszlai, G., Litoiu, M.: Capacity planning for service-oriented architectures. In: CASCON 2008: Proceedings of the 2008 conference of the Center for Advanced Studies on collaborative research, pp. 144–156. ACM, New York (2008)Google Scholar
  2. 2.
    Smit, M., Nisbet, A., Stroulia, E., Iszlai, G., Edgar, A.: Toward a simulation-generated knowledge base of service performance. In: Proceedings of the 4th International Workshop on Middleware for Service Oriented Computing (November 2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Michael Smit
    • 1
  • Eleni Stroulia
    • 1
  1. 1.Department of Computing ScienceUniversity of AlbertaEdmontonCanada

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