As the WWW has grown exponentially in last two decades, every day the search engines process billions of queries. The web users and web applications are growing in number and this will lead to increase in latency, network congestion and server overloading. Proxy server caches and personalized client caches are suggested to overcome these problems. They are used to store a subset of seen urls in the main memory. When correctly deployed, web caching reduces the access latencies and band width consumption. The heart of the caching system is its replacement policies which determine when and what to evict from the cache. In this study, researchers have implemented a combined LRU and LFU algorithm based on recency and frequency for a Client Cache System. Researchers propose a personalized Cache System with transparent proxy server which employs the above policy. The simulation results show that the proposed replacement policy performs better than other algorithms like LRU, LFU and FIFO.
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