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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