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A Clustering Based Web Prefetching in High Traffic Environment

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– A Clustering Based Web Prefetching in High Traffic Environment –

Download A Clustering Based Web Prefetching in High Traffic Environment. Mathematics students who are writing their projects can get this material to aid their research work.

Abstract

The continued increase in demand for objects on the Internet causes high web traffic and consequently low user response time which is one of the major bottlenecks in the network world. An increase in bandwidth is a possible solution to the problem but it involves increasing economic cost.

An alternative solution is web prefetching. Web prefetching is the process of predicting and fetching web pages in advance by the proxy server before a request is sent by a user. Prefetching is performed during the server idle time.

Most literature based on the classical prefetch algorithm assumes that the server idle time is large enough to prefetch all user’s predicted requests which is not true in a real-life situation.

This research aims at improving the web prefetching technique by developing a prefetching technique that can be effective in a high traffic environment when the server idle time is very low.

Introduction

The web is a collection of text documents and other resources, linked by hyperlinks and Uniform Resource Locator (URLs), usually accessed by web browsers, from web servers. The web started from a simple information sharing system and has now grown to a rich collection of dynamic and interactive services.

The tremendous growth of the web has resulted in high demand for high bandwidth and delay in fetching user requests (Neha, 2013).

Users sometimes experience unpredictable delays while retrieving web pages from the server. An increase in bandwidth is a possible solution to the problem but it involves high economic cost.

Web caching reduces the latency perceived by the user, reduces bandwidth utilization and reduces the loads on the origin servers (Pallis, 2007). Latency refers to the time elapsed from the time a request is sent to the time sender receives the requested information.

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