• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2022, Volume: 15, Issue: 18, Pages: 850-856

Original Article

Network Performance of Proxy-Enabled Server Using Three Configurations

Received Date:20 August 2021, Accepted Date:20 December 2021, Published Date:19 August 2022

Abstract

Background: This study aimed to test the mean network performance of the proxy server from the Out-Of-The-Box (OOTB), caching, filtering, and bandwidth allocation configurations when categorized according to the time of access and type of websites. More so, determine significant differences in the network performance of the proxy server with the OOTB and compared it with caching, blocking, and bandwidth allocation configuration when categorized according to the time of access and type of websites. Methods: Experimental design was employed to determine the difference in the network performance of proxy servers using three configurations namely, caching, filtering, and bandwidth allocation as compared to the network performance of proxyserver with the OOTB configuration. These three configurations were made as independent variables that determined the network performance of a proxyenabled server. The researchers used the Squid Proxy version 3.4. The data were obtained by setting up a computer system running Ubuntu Linux version 19.10. Four sets of experiments were conducted to test the performance of the OOTB, caching, filtering and bandwidth allocation configurations simultaneously. The time of access was defined as A.M. session and P.M. session while the type of websites was defined as static webpages and dynamic webpages. The mean and t-Test were the statistical tools used in the study where t-Test was set at 0.05 alpha level. Findings: It was found out that the caching configuration, in both time of access and type of websites, was the most efficient among the three configurations. The proxy-enabled server with blocking configuration was found to have the least performance efficiency for both times of access and types of websites among the three configurations. Novelty : With the results of this study, it is highly recommended to network administrators to employ caching configuration on proxy servers to improve the performance efficiency of computer networks.

Keywords: ProxyServer; OutOfTheBox; Caching; Filtering; Bandwidth Allocation

References

  1. Abiona O, Oluwaranti A, Oluwatope A, Bello S, Onime C, Sanni M, et al. Proxy Server Experiment and Network Security with Changing Nature of the Web. International Journal of Communications, Network and System Sciences. 2014;07(12):519–528. Available from: https://dx.doi.org/10.4236/ijcns.2014.712052
  2. Ali AHM, Mustafa DA, ABDALLA DAAS. Proxy Impact on Network Performance Review Study. International Journal of Innovative Research in Science, Engineering and Technology. 2014;03(11):17107–17113. Available from: https://dx.doi.org/10.15680/ijirset.2014.0311002
  3. Proxy Server. Available from: http://whatis.techtarget.com/definition/proxy-server (accessed )
  4. Chhabra Y. A Study of Recent Research Trends of Proxy Server. International Journal of Advanced Technology in Engineering and Science. 2015;3(01):159–164. Available from: http://ijates.com/images/short_pdf/226a.pdf
  5. Benadit PJ, Francis FS. Improving the Performance of a Proxy Cache Using Very Fast Decision Tree Classifier. Procedia Computer Science. 2015;48:304–312. Available from: https://dx.doi.org/10.1016/j.procs.2015.04.186
  6. Tiwari R, Kumar K, Khan G, Patel RB, Singh BP. Load Balancing in Distributed Web Caching: A Novel Clustering Approach. AIP Conference Proceedings. 2010;p. 341–345. doi: 10.1063/1.3526228
  7. Sofi A, Ahmad, Garg A. Analysis of various techniques for improving Web performance. International Journal of Advance Research in Computer Science and Management. 2015;3(3):271–279.
  8. Karthikeyan VKT. Web Content Filtering Techniques: A Survey. International Journal of Computer Science & Engineering Technology. 2014;5(3):203–208. Available from: http://www.ijcset.com/docs/IJCSET14-05-03-038.pdf
  9. Polpinij J, Sibunruang C, Paungpronpitag S, Chamchong R, Chotthanom A. A web pornography patrol system by content-based analysis: In particular text and image. 2008 IEEE International Conference on Systems, Man and Cybernetics. 2008;p. 500–505. doi: 10.1109/ICSMC.2008.4811326
  10. Sharma, Vikas, Kumar, Viram, Thakiu B, Singh. Need of Bandwidth Management and Formulation of Policy Framework for Effective Utilisation of Internet Services within a University Campus. International Journal of Computer Science and Communication. 2011;2(1):173–178. Available from: http://csjournals.com/IJCSC/PDF2-1/Article_31.pdf
  11. Renuka BS, Shashikiran GTP. Model of Load Distribution Between Web Proxy Servers Using Network Traffic Analysis. SN Computer Science. 2020;1(2):103. Available from: https://dx.doi.org/10.1007/s42979-020-0108-7
  12. Module 13R: Experimental Research and Design. Available from: https://www.yumpu.com/en/document/view/10797014/module-r13-experimental-research-and-design.Dateaccessed (accessed )
  13. Hao W, Fu J, He J, Yen IL, Bastani F, Chen IR. Extending Proxy Caching Capability: Issues and Performance. World Wide Web. 2006;9(3):253–275. Available from: https://dx.doi.org/10.1007/s11280-006-8556-0
  14. Lin PC, Liu MD, Lin YD, Lai YC. An Early Decision Algorithm to Accelerate Web Content Filtering. Information Networking. Advances in Data Communications and Wireless Networks. 2006;p. 833–841.

Copyright

© 2022 Wenceslao & Wenceslao. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)

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