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A Multi-Agent Negotiation Algorithm for Load Balancing in CORBA-Based Environment

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Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents (IDEAL 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1983))

Abstract

The original event service of the Common Object Request Broker Architecture (CORBA) suffers from several weaknesses. Among others, it has poor scalability. Previously, we have proposed a framework, called SCARCE, which extends the event service to tackle the problem in a transparent manner. Scalability is improved through an agent-based load balancing algorithm. In this paper, we propose two new features to the algorithm that can further enhance its stability and performance.

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References

  1. Ho, K. S., Leong, H. V.: An extended CORBA event service with support for load balancing and fault-tolerance. Proc. 2nd International Symposium on Distributed Objects and Applications (to appear)

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  2. Mitzenmacher, M.: How useful is old information. Proc. ACM Annual Symposium on Principles of Distributed Computing (1997) 83–91

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  3. Object Management Group: CORBAservices: Common Object Services Specification (1997)

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  4. Schmidt, D. C., Vioski, S.: Overcoming drawbacks in the OMG Event Service. C++ Report, 9(6) (1997)

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Author information

Authors and Affiliations

  1. Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong

    Kei Shiu Ho & Hong-Va Leong

Authors
  1. Kei Shiu Ho
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  2. Hong-Va Leong
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Kwong Sak Leung  & Lai-Wan Chan  & 

  2. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong

    Helen Meng

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© 2000 Springer-Verlag Berlin Heidelberg

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Ho, K.S., Leong, HV. (2000). A Multi-Agent Negotiation Algorithm for Load Balancing in CORBA-Based Environment. In: Leung, K.S., Chan, LW., Meng, H. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. IDEAL 2000. Lecture Notes in Computer Science, vol 1983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44491-2_45

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  • DOI: https://doi.org/10.1007/3-540-44491-2_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41450-6

  • Online ISBN: 978-3-540-44491-6

  • eBook Packages: Springer Book Archive

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