Abstract
In the current web scenario, the Internet users expect the web to be more friendly and meaningful with reduced network traffic. Every end user needs the channel with high bandwidth. In order to reduce the web server load, the access latency and to improve the network bandwidth from heavy network traffic, a model called Domain based Prefetching (DoP) is recommended, which uses the technique of General Access Pattern Tracking. DoP presents the user with several generic Domains with the top visited web requests in each Domain, which are retrieved from the web log file for future web access.
Highlights
With the unprecedented growth of web, the users always perceive access latency
The web server’s log file does not follow any uniform format for storing entries, it needs to be converted into a format, which would be useful for further processing
Throughput is the time measured in millisecond, which includes the total time taken for the Log file cleaning, Common Log Format (CLF) conversion, Log entries categorization, Ontology mapping and Prefetching
Summary
Intensive measures have been attempted to reduce the Latency. Prefetching is one such approach to reduce the average web access latency. The interesting and useful access patterns can be analysed and discovered only when web usage data of the user is tracked. This can be achieved only through a branch of web mining, called Web Log Mining. This study is divided into five sections each of which deals with a specific issue: Section 1 introduces the subject matter while Section 2 examines various issues associated with Prefetching.
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