Web protocols and practice: HTTP/1.1, Networking protocols, caching, and traffic measurement
Web protocols and practice: HTTP/1.1, Networking protocols, caching, and traffic measurement
Web Caching
Analysis of a Least Recently Used Cache Management Policy for Web Browsers
Operations Research
Cache Pollution in Web Proxy Servers
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
A survey of Web cache replacement strategies
ACM Computing Surveys (CSUR)
Web cache optimization with nonlinear model using object features
Computer Networks: The International Journal of Computer and Telecommunications Networking
Engineering Applications of Artificial Intelligence
Web proxy cache replacement scheme based on back-propagation neural network
Journal of Systems and Software
Web cache replacement policies: a pragmatic approach
IEEE Network: The Magazine of Global Internetworking
Intelligent Naïve Bayes-based approaches for Web proxy caching
Knowledge-Based Systems
Intelligent Web proxy caching approaches based on machine learning techniques
Decision Support Systems
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Web caching is a well-known strategy for improving performance of Web-based system by keeping web objects that are likely to be used in the near future close to the client. Most of the current Web browsers still employ traditional caching policies that are not efficient in web caching. This research proposes a splitting client-side web cache to two caches, short-term cache and long-term cache. Primarily, a web object is stored in short-term cache, and the web objects that are visited more than the pre-specified threshold value will be moved to long-term cache, while other objects are removed by Least Recently Used(LRU) algorithm as short-term cache is full. More significantly, when the long-term cache saturates, the trained neuro-fuzzy system is employed in classifying each object stored in long-term cache into cacheable or uncacheable object. The old uncacheable objects are candidate for removing from the long-term cache. By implementing this mechanism, the cache pollution can be mitigated and the cache space can be utilized effectively. Experimental results have revealed that the proposed approach has better performance compared to the most common caching policies and has improved the performance of client-side caching substantially.