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Integration of recommender system for Web cache management

Author(s): Pattarasinee Bhattarakosol

Journal: Maejo International Journal of Science and Technology
ISSN 1905-7873

Volume: 7;
Issue: 02;
Start page: 232;
Date: 2013;
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Keywords: Web cache farming | proxy server | recommender system | Web classification | Web usage pattern

Web caching is widely recognised as an effective technique that improves the quality of service over the Internet, such as reduction of user latency and network bandwidth usage. However, this method has limitations due to hardware and management policies of caches. The Behaviour-Based Cache Management Model (BBCMM) is therefore proposed as an alternative caching architecture model with the integration of a recommender system. This architecture is a cache grouping mechanism where browsing characteristics are applied to improve the performance of the Internet services. The results indicate that the byte hit rate of the new architecture increases by more than 18% and the delay measurement drops by more than 56%. In addition, a theoretical comparison between the proposed model and the traditional cooperative caching models shows a performance improvement of the proposed model in the cache system.
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