An Optimized Cloud Based Proxy Server Techniques to Improve User Experience of Spectrum Utilization

cloud, data compression, optimization algorithm, Latency, bandwidth efficiency

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November 1, 2022

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The global growth and popularity of user experience with the Internet from academia research to multimedia has significantly increased the amount of information online and services available to public domain. This growth has created an unprecedented level of congestion on network infrastructures; scarce network bandwidths, valuable resources which are important and are obstacle to Internet access. The emerging data access can be priced per-byte at high cost, consuming up to 25% of a user’s total income, while in developed markets, data usage caps are a persistently zero, requiring users to track and manage consumption to avoid overage fees. In order to address this bandwidth problem, caching algorithm of proxies is employed at network access points to reduce the round trips of client server connections. However, caching is limited during queries of database because most of the content on the web today are dynamic.  The focus of the study is to provide data compression techniques for reducing network access latency and to analyse the network traffic based on users’ experience.