International Journal of Education and Management Engineering (IJEME)
IJEME Vol. 8, No. 3, 8 May 2018
Cover page and Table of Contents: PDF (size: 587KB)
Web Clustering based Prefetching in High Traffic Environment
Full Text (PDF, 587KB), PP.21-32
Views: 0 Downloads: 0
Author(s)
F. O. Atta
1,*
A. F. Donfack Kana
1
Index Terms
Web Prefetching, clustering, low bandwidth, high traffic
Abstract
The need of minimizing the latency perceived by the user in fetching web objects without necessarily increasing the bandwidth has attracted several researchers in the recent years. Although web prefetching and caching is seen as a solution, proposed techniques do not consider the frequency of server idle time in their models. This paper therefore proposes a short time web prefetching framework based on clustering technique that can be effective in high traffic with low bandwidth environment where the server idle time is too minimal to fetch all users anticipated requests. Clusters from different user requests are used to perform an inter domain clustering that prioritizes the prefetching of web pages based on speed at which requests are received from each domain and the popularity of each page. Experimental results show an improvement in hit rate and precision over the classical clustering based prefetching technique when the server idle time is not enough to prefetch all clusters.
Cite This Paper
F. O. Atta, A. F. Donfack Kana,"Web Clustering based Prefetching in High Traffic Environment", International Journal of Education and Management Engineering(IJEME), Vol.8, No.3, pp.21-32, 2018. DOI: 10.5815/ijeme.2018.03.03
Reference
[1]Baskaran, k., and Kalaiarasan, C, “Combining Pre-fetching and Intelligent Caching Technique (SVM) to Predict Attractive Tourist Places”, Research Journal of Applied Sciences, Engineering and Technology , Vol. 9, Issue 1, 40-46, 2015.
[2]Baskaran, k., Kalaiarasan C., and Sasi, A, “Study of combined web prefetching with web caching based on machine learning technique”, Journal of Theoretical and Applied Information Technology, Vol. 55 Issue 2, 280-291, 2013.
[3]Bhaskaran, V., and Murali, V, “Optimizing the Web Cache Performance by Clustering based Pre-Fetching Technique using Modified ART1”, International Journal of Computer Applications, Vol. 4 Issue 1 , 50-57, 2012.
[4]Bina, B., Goudar, R. and Kaushal, K. “Quine-McCluskey: A Novel Concept for Mining the Frequency Patterns from Web data”, International Journalfor Education and Management engineering, Vol. 2018 No.1, 40-47, 2018.
[5]Cheng-Zhong, X., and Tamer I., “Semantics-Based Personalized Prefetching to Improve Web Performance”, Proc. of the 20th IEEE Conf. on Distributed Computing Systems, 636-643, 2000.
[6]Greeshma, G., and Jayasudha, J., “A Survey on Web Prefetching and Web Caching in a Mobile Environment”, International Journal of Computer Science and Information Technology, Vol. 2, Issue 1 , pp. 119-136, 2012.
[7]Neha, K., Esha, D., and Neha, S., “Proposed Framework for the Reduction of Web Congestion using Classification”, International Journal of Engineering and Advanced Technology, Vol. 3, Issue 2 , pp. 123-128, 2013.
[8]Neha, S., and Sanjay K., “Fuzzy C-means Clustering Based Prefetching to Reduce Web Traffic”, International Journal of Advances in Engineering & Technology, Vol. 6, Issue 1 , pp. 426-435, 2013.
[9]Pallis, G., Athena, V., and Jaroslav, P., “A Clustering-Based Prefetching Scheme on a Web Cache Environment”, Computers and Electrical Engineering, Vol. 34, Issue 2008, pp. 309-323, 2007.
[10]Patil, J., and Pawar, B., “Integrating Intelligent Predictive Caching and Static Prefetching in Web Proxy Servers”, International Journal on Computer Science and Engineering, Vol.3, Issue 2,pp. 697-704, 2011.
[11]Ramu, k., Sugumar, R., and Shanmugasundaram, B, “A Study on Web Prefetching Technique”, Journal of Advances in Computational Research, Vol. 1,Issue 1,pp. 39-46, 2012.
[12]Sachan, D., and Rao, D., “Performance Improvement of Web Caching Page Replacement Algorithms”, International Journal of Computer Science and Information Technologies, Vol. 5,Issue 3,pp. 3112-3115, 2014.
[13]Sathiyamoorthi, V., and Ramya, P., “Enhancing Proxy Based Web Caching System Using Clustering Based Pre-fetching with Machine Learning Technique”, International Journal of Research in Engineering and Technology, Vol. 3,Issue 7, pp. 463-469, 2014.
[14]Temgire, S., and Poonam, G., “Review on Web Prefetching Techniques”, International Journal of Technology enhancements and emerging engineering research,Vol. 1,No. 4 ,pp. 100-105, 2013.
[15]Thulase, M., and Raju, G., “Effective Web Access Latency Reduction Through Clustering Prefetching and Caching”, International Journal of Electrical & Computer Sciences, Vol. 14, No. 5, pp. 7-12, 2014.