Efficient Cluster Server Construction and Management for Service Orientation


The KIPS Transactions:PartA, Vol. 14, No. 6, pp. 371-382, Dec. 2007
10.3745/KIPSTA.2007.14.6.371,   PDF Download:

Abstract

Modern server systems are usually composed in the form of cluster systems in order to serve not only as many users but also as many kinds of applications as possible. The progression of the cluster system architecture leads in a middleware approach based on the Java framework. The middleware approach alleviates the efforts for the construction and the management of a server system but still preserves its performance and applications on the server. In this research, we introduce a new clustering scheme for the easy construction and maintenance of a cluster server system with the Java Management Extensions. We first demonstrate the construction and configuration process. Our experiment sets can verify that it is easy to construct, expand and manage a middleware based cluster system as well as the applications which reside on it. In addition, we can achieve reasonable performance on our service oriented clustered system with the help of state-of-the-art middleware. The experimental results of performance demonstration contain the availability of a server, and the effectiveness of load balancing and scheduling mechanisms. Especially, our service oriented scheduling mechanism was shown to successfully manage load imbalance under the normal load and cope with the overloaded situations, compared with other known scheduling mechanisms.


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Cite this article
[IEEE Style]
H. S. Chae, H. Y. Song, H. G. Kim, K. C. Lee, "Efficient Cluster Server Construction and Management for Service Orientation," The KIPS Transactions:PartA, vol. 14, no. 6, pp. 371-382, 2007. DOI: 10.3745/KIPSTA.2007.14.6.371.

[ACM Style]
Hee Seong Chae, Ha Yoon Song, Han Gyoo Kim, and Kee Cheol Lee. 2007. Efficient Cluster Server Construction and Management for Service Orientation. The KIPS Transactions:PartA, 14, 6, (2007), 371-382. DOI: 10.3745/KIPSTA.2007.14.6.371.