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Adaptive Load Balancing and Fault Tolerance in Push-Based Information Delivery Middleware Service

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Advances in Web-Age Information Management (WAIM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3129))

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Abstract

Push-based personalized information delivery is a special kind of event-driven application, which must monitor or react to changes of information sources or users interests to provide user-centered real-time services. In this paper, an enhanced event-driven middleware framework of Quality of Service (QoS) is proposed to support high reliable and available timely information push-delivery, in which adaptive loading balance strategy that combines static and dynamic load distribution algorithms together to ensure the system works in a reasonable workload level. As for the fault tolerance, a super-demon with adaptable time-piece is adopted for failure detection, node replication and recovery. Large amount simulations showed the adaptable QoS strategies and algorithms that we proposed are effective, efficient for event-driven distributed systems.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China

    Zhaofeng Ma & Boqin Feng

Authors
  1. Zhaofeng Ma
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  2. Boqin Feng
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Editor information

Editors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    Qing Li

  2. Shenyang Liaoning, Northeastern University, 110004, China

    Guoren Wang

  3. Dept. of Computer Science & Technology, Tsinghua University, Beijing, China

    Ling Feng

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© 2004 Springer-Verlag Berlin Heidelberg

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Ma, Z., Feng, B. (2004). Adaptive Load Balancing and Fault Tolerance in Push-Based Information Delivery Middleware Service. In: Li, Q., Wang, G., Feng, L. (eds) Advances in Web-Age Information Management. WAIM 2004. Lecture Notes in Computer Science, vol 3129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27772-9_81

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  • DOI: https://doi.org/10.1007/978-3-540-27772-9_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22418-1

  • Online ISBN: 978-3-540-27772-9

  • eBook Packages: Springer Book Archive

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