Hot Spot Prediction Method for Improving the Performance of Consistent Hashing Shared Web Caching System 


Vol. 29,  No. 5, pp. 498-507, May  2004


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  Abstract

The fast and precise service for the users request is the most important in the World Wide Web. However, the fast service is difficult due to the rapid increase of the Internet users recently. The Shared Web Caching (SWC) is one of the methods solving this problem. The performance of SWC is highly depend on the hit rate and the hit rate is effected by the memory size, processing speed of the server, load balancing and so on. The conventional load balancing is usually based on the state history of system, but the prediction of the state of the system can be used for the load balancing that will further improve the hit rate. In this study, a Hot Spot Prediction Method (HSPM) has been suggested to improve the throughputs of the proxy. The predicted hot spots, which is the item most frequently requested, should be predicted beforehand. The result show that the suggested method is better than the consistent hashing in the point of the load balancing and the hit rate.

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  Cite this article

[IEEE Style]

S. Jung and K. Chong, "Hot Spot Prediction Method for Improving the Performance of Consistent Hashing Shared Web Caching System," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 5, pp. 498-507, 2004. DOI: .

[ACM Style]

Sung-Chil Jung and Kil-To Chong. 2004. Hot Spot Prediction Method for Improving the Performance of Consistent Hashing Shared Web Caching System. The Journal of Korean Institute of Communications and Information Sciences, 29, 5, (2004), 498-507. DOI: .

[KICS Style]

Sung-Chil Jung and Kil-To Chong, "Hot Spot Prediction Method for Improving the Performance of Consistent Hashing Shared Web Caching System," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 5, pp. 498-507, 5. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880