CFP last date
20 May 2024
Reseach Article

Performance Evaluation of Websites Emulating Referenced Resources

Published on November 2014 by Khushboo Singh, Murlidhar Verma
National Conference on Innovations and Recent Trends in Engineering and Technology
Foundation of Computer Science USA
NCIRET - Number 3
November 2014
Authors: Khushboo Singh, Murlidhar Verma
cb4c1ada-75d3-44c4-a527-20a9974fb91d

Khushboo Singh, Murlidhar Verma . Performance Evaluation of Websites Emulating Referenced Resources. National Conference on Innovations and Recent Trends in Engineering and Technology. NCIRET, 3 (November 2014), 10-15.

@article{
author = { Khushboo Singh, Murlidhar Verma },
title = { Performance Evaluation of Websites Emulating Referenced Resources },
journal = { National Conference on Innovations and Recent Trends in Engineering and Technology },
issue_date = { November 2014 },
volume = { NCIRET },
number = { 3 },
month = { November },
year = { 2014 },
issn = 0975-8887,
pages = { 10-15 },
numpages = 6,
url = { /proceedings/nciret/number3/18638-1929/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Innovations and Recent Trends in Engineering and Technology
%A Khushboo Singh
%A Murlidhar Verma
%T Performance Evaluation of Websites Emulating Referenced Resources
%J National Conference on Innovations and Recent Trends in Engineering and Technology
%@ 0975-8887
%V NCIRET
%N 3
%P 10-15
%D 2014
%I International Journal of Computer Applications
Abstract

The objective of this paper is to investigate and optimize the performance of web sites and take steps to improve the end-user experience. Taking site's loading speed into consideration is still something we should really look for. Extensive literature is there on website popularity, content-based, collaborative or knowledge-based filtering etc but there has been a little work regarding performance optimization of individual website. Web site performance optimization checks for various referenced resources such as JavaScript, CSS, HTML status code, HTTP request, response time, DNS lookups etc. A key indicator of the performance of any web site is its referenced resources. Web applications need to be monitored in an objective manner to ensure optimal performance translating web performance to dollars and cents. As users are in hurry and don't feel happy if their web site is responding slowly in several seconds. Hence the site is contingent to lose a lot of visitors. This paper purely illustrates the parameters by which web ecosystem can be improved. One website was created to measure parameters and impact of execution on the responsiveness of the website. The performance can be measured by sampling site on the basis of milliseconds a site takes to load and can also view time-based response that gives a fair idea of the performance of websites over a interval of time. If a constant degradation of performance is noticed, then necessary actions can be taken to improve it. By spiriting images, minifying JavaScript, CSS, zipped files and html tags the response and loading time of website has reduced to a great extinct. The performance can be evaluated by using tools which give details of resources and components on that web site. They give the option to understand how the site is loading with different global perspective, visitors, page size and Internet connection speeds.

References
  1. When seconds count, http://www. gomez. com/wp-content/ downloads/GomezWebSpeedSurvey. pdf
  2. PageSpeed Insights, https://developers. google. com/speed/pagespeed
  3. StrangeLoop Networks, Website abandonment happens after 3 seconds, http://www. strangeloopnetworks. com/resources/infographics/webperformance-and-user-expectations/website-abandonment-happens-after-3-seconds/
  4. Site24x7,https://www. site24x7. com/web-page-analyzer. html,06-05-2014
  5. Lohr, S. , Impatient web users flee slow loading sites, New York Times, 2012, http://www. nytimes. com/2012/03/01/technology/impatient-web-users-flee-slow-loading-sites. html
  6. Kissmetrics. com, Loading time, http://blog. kissmetrics. com/loading-time/
  7. Loiacono, E. T. WebQual™: a website quality instrument. Thesis, University of Georgia, Athens, 2000
  8. Zeithaml, V. A. , A. Parasuraman, and A. Malhotra. Service quality delivery through websites: a critical review of extant knowledge. Journal of the Academy of Marketing Science, Vol. 30, No. 4 (2002), p. 362-375.
  9. Sixrevisions. com, Free website speed testing, http://sixrevisions. com/ tools/free-website-speedtesting/
  10. Andrew B. King, "Speed up your site,Website Optimization", 2003
  11. YSlow, http://yslow. org/, 06-05-2014
  12. WebPageTest, http://www. webpagetest. org
  13. van Iwaarden, J. , T. van der Wiele, L. Ball, and R. Millen. Perceptions about the quality of websites: a survey amongst students at Northeastern University and Erasmus University. Information & Management, Vol. 41, No. 8 (2004), p. 947-959.
  14. JSMini, http://www. jsmini. com, 06-05-2014
  15. Javascript compression tool, http://jscompress. com/
  16. CSS Sprites, http://www. csssprites. com
  17. SOUDERS, S. Loading Scripts Without Blocking. In High Performance Web Sites blog (April 27 2010), www. stevesouders. com/blog/2009 /04 /27 /loading-scripts-without-blocking.
  18. GTMetrix, http://gtmetrix. com, 06-05-2014.
  19. Gzip, http://www. gzip. org/
  20. SpriteMe, http://www. spriteme. org
  21. http://www. picnikphotoediting. com/
  22. Aladwani, A. M. and P. C. Palvia. Developing and validating an instrument for measuring user-perceived web quality. Information & Management, Vol. 39 (2002), p. 467-476.
  23. Ranganathan, C. and S. Ganapathy. Key dimensions of business-to consumer websites. Information & Management, Vol. 39, No. 6 (2002), p. 457-465.
  24. Kim, S. and L. Stoel. Dimensional hierarchy of retail website quality. Information & Management, Vol. 41, No. 5 (2004), p. 619-633.
Index Terms

Computer Science
Information Sciences

Keywords

Website Optimization Javascript Css Page Speed