CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Enhancing Proxy Server cache Management using Log Analysis and Recommendations

by Madhubala Chaurasia, C.s Satsangi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 2
Year of Publication: 2015
Authors: Madhubala Chaurasia, C.s Satsangi
10.5120/19796-1575

Madhubala Chaurasia, C.s Satsangi . Enhancing Proxy Server cache Management using Log Analysis and Recommendations. International Journal of Computer Applications. 113, 2 ( March 2015), 9-14. DOI=10.5120/19796-1575

@article{ 10.5120/19796-1575,
author = { Madhubala Chaurasia, C.s Satsangi },
title = { Enhancing Proxy Server cache Management using Log Analysis and Recommendations },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 2 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number2/19796-1575/ },
doi = { 10.5120/19796-1575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:53.688956+05:30
%A Madhubala Chaurasia
%A C.s Satsangi
%T Enhancing Proxy Server cache Management using Log Analysis and Recommendations
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 2
%P 9-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a day's web based applications are growing rapidly due to this the network performance is affected significantly. Thus a performance improvement technique is required by which the application speed is maintained and delivers the high performance web pages. Thus pre-fetching techniques are applied. There are various kinds of pre-fetching techniques are available among them a promising data model is find in [1]. In this technique the proxy log data is consumed for performing navigation pattern analysis. Thus this model incorporates a K-mean algorithm for cluster log data and then the Apriori algorithm is applied to find the frequent pattern rules. Using these rules the system recommends the possible user pages for prefetching. In order to enhance the performance of the traditional model two different techniques are implemented and compared with the traditional model. First utilize the Bayesian classification technique for analyzing pattern and in second method the ID3 decision tree algorithm for analyzing patterns. The comparison of the both the techniques are performed in terms of memory used, time consumption, accuracy and error rate. According to the obtained results the proposed predictive system offers high performance results as compared to the traditional data model.

References
  1. Nanhay Singh, Arvind Panwar, and Ram Shringar Raw, "Enhancing the Performance of Web Proxy Server through Cluster Based Perfecting Techniques", 978-1-4673-6217-7/13/$31. 00 c 2013 IEEE.
  2. R. Suguna, D. Sharmila, "Clustering Web Log Files – A Review" International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 4, April – 2013 ISSN: 2278-0181.
  3. Nanhay Singh, Achin Jain1, Ram Shringar Raw "Comparison Analysis Of Web Usage Mining Using Pattern Recantation Technique" International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol. 3, No. 4, July 2013 .
  4. Hamid Rastegari and Siti Mariyam Shamsuddin, "Web Search Personalization Based on Browsing History by Artificial Immune System", Int. J. Advance. Soft Compute. Appl. , Vol. 2, No. 3, November 2010 ISSN 2074-8523; Copyright © ICSRS Publication, 2010.
  5. Ms. Veena Singh Bhadauriya1, Dr. Bhupesh Gour2, Dr. Asif Ullah Khan" A Weighted Markov Model for Web Prefetching to Improve User Interface over Internet" Int. J. Advanced Networking and Applications Volume: 05, Issue: 03, Pages:1962-1967 (2013) ISSN : 0975-0290.
  6. Kushwant Kaur, Prof. Kanwalvir Singh Dhindsa" Hybrid Approach for Improvement of Web page. Response Time" Kushwant Ka et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (5) , 2014, 6755-6759.
  7. Akshay Kansara1, Swati PatelI mproved Approach to Predict user Future Sessions using Classification and Clustering" International Journal of Science and Research (IJSR), India Online ISSN: 2319-7064.
  8. P. jomsari"improveing the performance of proxy server by using data mining technique"world Academy of science,Engineering and technology vol:7 2013-07-24.
  9. Monti Babulal Pal1, Dr. Dinesh C. Jain" Enhancing the Web Pre-Fetching at Proxy Server using Clustering" Engineering Universe for Scientific Research and Management Vol. 6 Issue 3 March 2014.
  10. Naveed Ahmad, Owais Malik, Mahmood ul Hassan, Muhammad Shuaib Qureshi, Asim Munir, "Reducing User Latency in Web Prefetching Using Integrated Techniques", 978-1-61284-941-6/11/$26. 00 ©2011 IEEE.
  11. Mahesh Manchanda,Dr. Neena Gupta, "Make Web Page Instant: By Integrating Web-Cache and Web-Prefetching", Conference on Advances in Communication and Control Systems 2013 (CAC2S 2013).
Index Terms

Computer Science
Information Sciences

Keywords

web usage mining web log prefetching ID3 K-mean Bayesian classifier.

Powered by PhDFocusTM