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Efficient category-based service discovery on multi-agent platform

Author

Listed:
  • Seungwok Han

    (Sungkyunkwan University)

  • Hee Yong Youn

    (Sungkyunkwan University)

  • Ohyoung Song

    (School of Electrical and Electronics Engineering Chung-Ang University)

Abstract

Today, multi-agent technologies are widely used for realizing prevalent ubiquitous computing applications, in which service discovery is a critical task for finding a particular service instance. While JADE is a popular system for multi-agent applications, its directory facilitator (DF) used for service discovery employs a sequential search approach, which shows degraded performance when the number of registered services becomes large. This paper proposes a new DF scheme employing the category-based classification and search approach. It greatly reduces the search space and allows accurate matchmaking. The DF implemented with the proposed approach and JADE-DF are compared in terms of query response time and memory space requirement. It demonstrates that the proposed DF allows faster query processing than JADE-DF and requires smaller memory space, especially for a large number of services and queries of multiple parameters.

Suggested Citation

  • Seungwok Han & Hee Yong Youn & Ohyoung Song, 2012. "Efficient category-based service discovery on multi-agent platform," Information Systems Frontiers, Springer, vol. 14(3), pages 601-616, July.
    • Handle: RePEc:spr:infosf:v:14:y:2012:i:3:d:10.1007_s10796-010-9281-x
    DOI: 10.1007/s10796-010-9281-x
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    References listed on IDEAS

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    1. Dickson K. W. Chiu & Yves T. F. Yueh & Ho-fung Leung & Patrick C. K. Hung, 2009. "Towards ubiquitous tourist service coordination and process integration: A collaborative travel agent system architecture with semantic web services," Information Systems Frontiers, Springer, vol. 11(3), pages 241-256, July.
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    Cited by:

    1. Ping Wang & Kuo-Ming Chao & Chi-Chun Lo, 2015. "Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory," Information Systems Frontiers, Springer, vol. 17(4), pages 827-844, August.
    2. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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