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SOA Performance Enhancement Through XML Fragment Caching

Author

Listed:
  • Anindya Datta

    (Department of Information Systems, National University of Singapore, Singapore)

  • Kaushik Dutta

    (Department of Information Systems, School of Computing, National University of Singapore, Singapore)

  • Qianhui Liang

    (Hewlett Packard Labs, Fusionopolis, Singapore)

  • Debra VanderMeer

    (Department of Decision Sciences and Information Systems, College of Business, Florida International University, Miami, Florida 33199)

Abstract

Organizations are increasingly choosing to implement service-oriented architectures to integrate distributed, loosely coupled applications. These architectures are implemented as services, which typically use XML-based messaging to communicate between service consumers and service providers across enterprise networks. We propose a scheme for caching fragments of service response messages to improve performance and service quality in service-oriented architectures. In our fragment caching scheme, we decompose responses into smaller fragments such that reusable components can be identified and cached in the XML routers of an XML overlay network within an enterprise network. Such caching mitigates processing requirements on providers and moves content closer to users, thus reducing bandwidth requirements on the network as well as improving service times. We describe the system architecture and caching algorithm details for our caching scheme, develop an analysis of the expected benefits of our scheme, and present the results of both simulation and case study-based experiments to show the validity and performance improvements provided by our caching scheme. Our simulation experimental results show an up to 60% reduction in bandwidth consumption and up to 50% response time improvement. Further, our case study experiments demonstrate that when there is no resource bottleneck, the cache-enabled case reduces average response times by 40%--50% and increases throughput by 150% compared to the no-cache and full message caching cases. In experiments contrasting fragment caching and full message caching, we found that full message caching provides benefits when the number of possible unique responses is low while the benefits of fragment caching increase as the number of possible unique responses increases. These experimental results clearly demonstrate the benefits of our approach.

Suggested Citation

  • Anindya Datta & Kaushik Dutta & Qianhui Liang & Debra VanderMeer, 2012. "SOA Performance Enhancement Through XML Fragment Caching," Information Systems Research, INFORMS, vol. 23(2), pages 505-535, June.
  • Handle: RePEc:inm:orisre:v:23:y:2012:i:2:p:505-535
    DOI: 10.1287/isre.1110.0368
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    References listed on IDEAS

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    1. Kartik Hosanagar & Ramayya Krishnan & John Chuang & Vidyanand Choudhary, 2005. "Pricing and Resource Allocation in Caching Services with Multiple Levels of Quality of Service," Management Science, INFORMS, vol. 51(12), pages 1844-1859, December.
    2. Vijay S. Mookerjee & Yong Tan, 2002. "Analysis of a Least Recently Used Cache Management Policy for Web Browsers," Operations Research, INFORMS, vol. 50(2), pages 345-357, April.
    3. Kaushik Dutta & Samit Soni & Sridhar Narasimhan & Anindya Datta, 2006. "Optimization in Object Caching," INFORMS Journal on Computing, INFORMS, vol. 18(2), pages 243-254, May.
    4. Anindya Datta & Kaushik Dutta & Helen Thomas & Debra VanderMeer, 2003. "World Wide Wait: A Study of Internet Scalability and Cache-Based Approaches to Alleviate It," Management Science, INFORMS, vol. 49(10), pages 1425-1444, October.
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