17-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
Reducing User Latency in Web Prefetching Using Integrated Techniques
تقليل زمن جلب صفحات الويب عن طريق استخدام الأساليب المتكاملة
Subject
:
Data Mining (Web Mining)
Document Language
:
English
Abstract
:
Web caching and Web Prefetching are the areas for the research in Web Mining. Web Prefetching improves the performance of the Web Caching techniques due to prediction of the user pages in advance before the user requests. Both techniques provide the web pages local to the user; they provide the resources of web for user's ease and access. Web caching is limited due to its size. Web prefetching is the process of accessing the web objects before the user's request. Whenever a client requests before accessing the web page a prediction is made for accessing that web page. All the web objects are brought from server to the client. The access to the web objects is on the basis of the data prefetched from the server. This research focused on when a user requests for a web page, how to improve the overall performance of web prefetching mechanism? The proposed mechanism provides the pages locally available to a user or group of users by utilizing bandwidth of the network. The server contains an algorithm for the prediction of web pages and the prediction of a web page is based on counting the number of times a page is accessed by a user from each cluster.
Conference Name
:
IEEE 2011 International Conference on Computer Networks & Information Technology.
Duration
:
From : 00 AH - To : 00 AH
From : 11 يوليو 2011 AD - To : 13 يوليو 2011 AD
Publishing Year
:
1432 AH
2011 AD
Number Of Pages
:
4
Article Type
:
Article
Conference Place
:
Bara Gali, Summer Campus University of Peshawar
Organizing Body
:
Department of Computer Science, University of Peshawar, Pakistan
Added Date
:
Saturday, June 23, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Naveed Ahmad
Ahmad, Naveed
Investigator
Owais Malik
Malik, Owais
Researcher
Mahmood Ul Hassan
Ul Hassan, Mahmood
Researcher
محمد شعيب قرشي
QURESHI, MUHAMMAD SHUAIB
Researcher
qureshi.shuaib@gmail.com
عاصم منير
Munir, Asim
Researcher
Files
File Name
Type
Description
33725.pdf
pdf
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