There is a growing problem with Webpage bloat. Therefore, it is no surprise that techniques to improve the speed of loading pages have been often times focused on the compression of data in an attempt to shrink the amount of milliseconds it will take a website to come into view.
However, researchers in MIT have taken to a different tack in an attempt to take time out of web browsing. The result is a new tool known as Polaris, which they said could lower the load times of pages by up to 34%.
The technique of researchers focused on mapping the connections or dependencies that are between the different objects located on a particular page so they can dynamically figure out the route that is the most efficient for the browser to load various elements that are interdependent.
While they said there have been attempts prior to do the dependency tracking, they have claimed their tracking is more of a fine grained mapping of relationships, whereas they said the prior methods focused on comparing the lexical relationships through HTML tags, therefore failing to capture the more subtle types of dependencies.
Therefore, today browsers such as Firefox and Chrome are heavily optimized. However, the focus has shifted now towards the delays, on the round trip times on cell networks that have made page loading times longer.
Polaris must be installed on a server and it includes Scout, a tool that loads pages locally as well as extracts all the different dependencies to create a graph that Polaris can then use to optimize the way the webpage gets loaded.
Researchers tested the tool across a host of different network conditions on top ranked websites from the Alexa list.
The reduction figure of 34% was a median of the 200 different tests performed.
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