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The demand for the internet and world wide web users has been raising rapidly. The clients are experiencing web access delays very often. So, the technology claims for best latency tolerance technique. The existing latency tolerance technique failed to provide good adaptability to the change of client's browsing interest. The reduction of hit ratio results a huge delay of web page retrieval. This paper proposes remedy for the traditional approaches. Caching is used for lessening the latency as<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3598660">doi:10.5281/zenodo.3598660</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dara76a24bhgzh255oldq6lzva">fatcat:dara76a24bhgzh255oldq6lzva</a> </span>
more »... ell as bandwidth provision for the distribution of web documents to the user. Our methodology for caching uses Enhanced bloom filter vector, MD5 prefetching data by considering bandwidth consumption and QOS parameters.The proposed algorithm successfully exploited the idea of performance guarantying reduction of latency.Whenever an URL is requested by the client for the first time, it is provided by the server and is stored in the cache simultaneously. When the same URL is requested again, it is directly retrieved from the cache so that the time for delivery from the server is reduced and hence the overall latency is minimized. In our system,Signal R technique is used, where the cache data is shared among co-operative users. The hub connection among the co-operative users initiated by creating a server. Advanced Encryption Standard (AES) is used to encrypt and decrypt the data amid the co-operative users. This effectively reduces bandwidth consumption, thereby decreases network traffic and less congestion. By fetching recurrently retrieved documents from the nearby proxy cache reduces the access latency considerably minimized.
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