DocumentCode :
3122570
Title :
Optimizing Predictive Prefetching in Multi-client Single-Server Environment
Author :
Ahmad, Naveed ; Khan, Azam ; Bibi, Faiza
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Int. Islamic Univ., Islamabad, Pakistan
fYear :
2011
fDate :
19-21 Dec. 2011
Firstpage :
154
Lastpage :
160
Abstract :
Web caching and web prefetching are major areas of research. Both techniques are used for locating resources local to the user. The prefetching techniques make use of probability and statics for the availability of web document local to the user. This research focused on invention of model technique that provides resources local for the users. This method´s results are compared for optimizes resources in web prefetching. The mechanism proposed for the prefetching document will extract the resources and make an easy access of resources for users.
Keywords :
Internet; cache storage; document handling; file servers; optimisation; storage management; Web caching; Web document; Web prefetching; multiclient single server environment; predictive prefetching optimization; prefetching document; Educational institutions; History; Prediction algorithms; Prefetching; Web pages; Web servers; Optimization; Predictive; Prefetching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Information Technology (FIT), 2011
Conference_Location :
Islamabad
Print_ISBN :
978-1-4673-0209-8
Type :
conf
DOI :
10.1109/FIT.2011.36
Filename :
6137137
Link To Document :
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