Webpage bloat is a growing problem. So no surprise techniques to speed page load times have often focused on data compression to try to shrink the number of milliseconds it takes for a website to heave into view.
But researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have taken a different tack to try to take some of the tedium out of web browsing — and the result is a tool, called Polaris, which they say can reduce page load times by as much as 34 per cent.
Their technique focuses on mapping the connections (aka ‘dependencies’) between different objects on a page in order to dynamically figure out the most efficient route for a browser to load the various interdependent elements.
And while they note there have been prior attempts to do “dependency-tracking”, they claim theirs is a more “fine grained” mapping of these relationships, whereas they say other methods have focused on comparing lexical relationships via HTML tags and have thus failed to capture “more subtle dependencies”.Read More On techcrunch.com
Categories Architecture & Engineering