Sulaiman, Sarina and Shamsuddin, Siti Mariyam and Abraham, Ajith (2010) Data warehousing for rough web caching and prefetching. In: The 2010 IEEE Conference on Granular Computing (GrC 2010), 14-16 August 2010, Silicon Valley, USA.
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Official URL: http://dx.doi.org/10.1109/GrC.2010.138
It is no secret that the Internet world has now evolved rapidly. From text-based to multimedia has congested our network traffic. This situation causes much lagging in the current workplace or geographic area. One of the infrastructures that support and convey data is a proxy server. Proxy server needs efficiently to use historical data to give users best links and also to reduce the traffic congestions. Furthermore, historical data are stored in a data warehouse for further processing. From the data warehouse, the best hit ratio can be obtained and, which increases the probability to keep the cache object for proxy server to serve the client faster. In order to get the hit ratio, rough set algorithms are applied to mark the lower and upper approximation and to get the best results.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||web caching, web pre-fetching, data warehouse, hit ratio, proxy server|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Liza Porijo|
|Deposited On:||18 Jun 2012 03:57|
|Last Modified:||18 Jun 2012 03:57|
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