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Load Balancing Using Dynamic Replication Scheme for the Distributed Object Group

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4413))

Abstract

CORBA is the most widely used middleware for implementing distributed application. Currently, object implementations facilitate object group model to organize the object services. In addition to the complexity of designing the object groups, researchers also seek to improve the quality of service (QoS) by various means such as implementing load balancing to the system. This paper deals with the proposed load balancing service of distributed object groups. The proposed load balancing service uses the dynamic replication scheme which is mechanized by flow balance assumption (FBA) that derives from the arrival and service rate to execute request forwarding to new objects. The proposed on-demand replication scheme adjusts the number of replicated objects based on the arrival rate to minimize the waiting time of clients. It consists of procedures such as intercepting the request and executing on-demand activation of objects. The result of the simulation shows the improvement of the total mean client request completion time of the system as compared to other load balancing schemes.

This research was supported by grant R01-2006-000-10147-0 from the Basic Research Program of the Korea Science and Engineering Foundation.

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Marcin S. Szczuka Daniel Howard Dominik Ślȩzak Haeng-kon Kim Tai-hoon Kim Il-seok Ko Geuk Lee Peter M. A. Sloot

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© 2007 Springer-Verlag Berlin Heidelberg

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Mateo, R.M.A., Lee, M., Lee, J. (2007). Load Balancing Using Dynamic Replication Scheme for the Distributed Object Group. In: Szczuka, M.S., et al. Advances in Hybrid Information Technology. ICHIT 2006. Lecture Notes in Computer Science(), vol 4413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77368-9_45

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  • DOI: https://doi.org/10.1007/978-3-540-77368-9_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77367-2

  • Online ISBN: 978-3-540-77368-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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