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http://dx.doi.org/10.9708/jksci.2011.16.8.011

A Study on Efficient Load Balancing Mechanism in Distributed Web Cluster System  

Lee, Bog-Ki (Dept. of Computer Science, Kyungwon University)
Abstract
The increasing of web users load to the excessive transmission traffic and system overload problems. To solve these problems, cluster systems are studied. In conventional cluster systems, when the request size is large owing to such types as multimedia and CGI, the particular server load and response time tend to increase even if the overall loads are distributed evenly. In this paper, we consider the methodology of efficient resource usage, specially distributed web cluster system. We develope an algorithm that distributes the load on the web cluster system to use the system resources, such as system memory equally. The response time is chosen as a performance measure on the various clustering models. And based on the concurrent user to the web cluster system, the response time is also examined as the number of users increases. Simulation experience with this algorithm shows that the response time and average throughput seems to have a good results compare to those with the other algorithm.
Keywords
Web Server; Load Balancing; Web traffic;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 V. Carellini and M. Cloajanni,and P. Yu, "Red irection Algorithms for Load Sharing in Distributed Web-server Systems," Proceedings of the 19thIEEE International Conferenceon Distributed Computing Systems, pp. 528-535, May 1999.
2 Beowulf Project, http://www.beowulf.org
3 A. Wong and T. Dillon, "Load balancing to Improve Dependability and Performance for Program Objects in Distributed Real-time Cooperation over the Internet," The 3rd IEEE International Symposiumon Object-Oriented Real-time Distributed Computing. Mar.2000.
4 Jaesung Park, Yujin Lim,"A Stochastic Serving MPP SelectionMethod for Increasing the Efficiency of aWireless Mesh Network", Journal of The Korea Society of Computer and Information, Vol. 14, No. 6, pp. 83-90, Jun 2009.
5 Young-Bok Cho, Jae-min Choi, Sang-ho Lee,"An Efficient Dynamic Prediction Clustering Algorithm Using Skyline Queries in Sensor Network Environment", Journal of The Korea Society of Computer and Information, Vol. 13, No. 7, pp. 139-148, Dec 2008.
6 J. Challenger et al., "Efficiently Serving Dynamic Data at Highly Accessed Web Sites," IEEE/ACM Trans. on Networking, vol. 12, 2004, pp. 223-233.
7 L. Chen, Y. Lu, and T.F. Abdelzaher, "Feedback Control Architecture and Design Methodology for Service Delay Guarantees in Web Servers," IEEE Parallel and Distributed Systems, vol. 17, 2006, pp. 1014-1027.   DOI   ScienceOn