Rather than using compression, MIT and Harvard researchers have adopted a different approach to cutting page load-times in their new Polaris browser tech.

Researchers at MIT say a framework they've developed for browsers can reduce page load-times by up to 34 percent and enhance data-compression techniques used in Chrome.

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and Harvard University researchers argue that the framework could, if adopted by browsers, make a significant contribution to existing compression-focused efforts to cut page load-times.

Rather than using compression, their take is based on a new 'dependency tracker' called Scout, which tracks data flows between objects on a webpage to create a 'dependency graph'. Polaris, a JavaScript scheduler, then uses those graphs to inform the browser which objects to load and when...

Read more: MIT's answer to cutting webpage load-times? It's the Polaris compression-trumping browser framework | ZDNet