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Characterizing Web Page Complexity And Its Impact Essay

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2. Literature Review
2.1. Characterizing Web Page Complexity and Its Impact
In these paper author focus on finding the gap in understanding how complex individual Web sites are and how this complexity impacts on the usersperformance. Also characterize the Web site both at content level (like, number and size of images) and service level (like, number of servers/origins). It may happen that some categories are more complex than other such as 'News '. Out of hundred 60% of Web sites fetched content from minimum five non-origin sources, and these give more than 35% of the bytes downloaded. In addition, they examine which metrics are most suitable for predicting page render and load times and catch that the number of objects requested is the most important factor. With respect to variability in load times, however, they alsofind number of servers is the best indicator. Two techniques Correlation and Regression are used For Correlation the computation analysis between the median values of various complexity metrics of Web site and median values of Render End (Render Start) across multiple measurements of that Web site.This analysis tells the good indicator of time that requiresto load page.

2.2. Website Complexity Metrics for Measuring Navigability
Now recent years, navigability has become the axis of website designs. Existing mechanism haveproblem into two types. The major is to assess and measure a website’s navigability in contrast to a set of principles. Another is to

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