DocumentCode
2143071
Title
Data Warehousing for Rough Web Caching and Pre-fetching
Author
Sulaiman, Sarina ; Shamsuddin, Siti Mariyam ; Abraham, Ajith
Author_Institution
Soft Comput. Res. Group (SCRG), Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2010
fDate
14-16 Aug. 2010
Firstpage
443
Lastpage
448
Abstract
It is no secret that the Internet world has now evolved rapidly. Different types of texts and multimedia have 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.
Keywords
Internet; data warehouses; multimedia computing; rough set theory; storage management; Internet; data warehouse; historical data; multimedia; prefetching; proxy server; rough Web caching; rough set algorithms; traffic congestions; Approximation methods; Correlation; Data warehouses; Predictive models; Protocols; Servers; Training data; Web caching; Web pre-fetching; data warehouse; hit ratio; proxy server;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-7964-1
Type
conf
DOI
10.1109/GrC.2010.138
Filename
5575958
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