Web-Page Complexity and Optimization Mechanism to Reduce Web-Page Load Time  
  Authors : Omkar Sawant; Sachin Godse

 

Webpage load time is a critical issue in today’s world of Internet. It directly affects the user’s satisfaction. Recent studies have proposed the concept of ‘Web Page Complexity’. Complexity of a website eventually affects the web page load time. A set of metrics to characterise the complexity of a Website has already been formulated. The complexity of a website can be measured at content level and service level. Based on this fact, metrics such as ‘number of objects requested’, ‘MIME type of the objects’, ‘number of servers used’ and ‘non-origin contribution’ have been identified to be important. While there have been extensive study regarding websites and related issues, little work has been done on understanding the complexity of an individual website and how it is measured and manipulated to improve the user’s experience and reduce webpage load time. This paper tries to fill this gap by utilising the concept of ‘Complexity of website’ and the metrics proposed by prior studies to measure and analyse the complexity of a website.

 

Published In : IJCAT Journal Volume 1, Issue 9

Date of Publication : 31 October 2014

Pages : 444 - 447

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Publication Link : Web-Page Complexity and Optimization Mechanism to Reduce Web-Page Load Time

 

 

 

Omkar B. Sawant : received the B.E. degree in Computer Engineering from P.V.P.I.T, Pune, INDIA in 2010 and is pursuing M.E. in Computer Engineering at S.A.O.E , Pune

Sachin P. Godse : received the B.E. degree in Computer Engineering from A.V.C.O.E, Sangamner, INDIA in 2004 and M.E. degree in Computer Engineering from S.C.O.E, Pune in 2010. He is currently working as a Professor in S.A.O.E, Pune.

 

 

 

 

 

 

 

MIME

Non-origin contribution

Webpage complexity is the new concept that needs to be studied further to get new insights into the issues related to the Web performance. This paper tries to present different optimization mechanisms that can be implemented on a website to reduce the webpage load time by analyzing its complexity with the help of the proposed Analyzer tool. It is also found that optimization is not a straight-forward task and needs to be implemented by considering nature of the complexity of the website under consideration. For this purpose the proposed Analyzer tool can play a significant role by determining the nature of the complexity of a website so that appropriate optimizations can be carried out to mitigate the ill-effects of the complexity on the webpage load time.

 

 

 

 

 

 

 

 

 

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