System loads webpages 34% faster by fetching files more effectively

Wed, 03/09/2016 By Adam Conner-Simons, MIT CSAIL Press Inquiries There are few things more frustrating than a slow-loading webpage. For companies, what’s even worse is what comes after: users abandoning their site in droves. Amazon, for example, estimates that every 100-millisecond delay cuts their profits by 1 percent.To help combat this problem, researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and Harvard have developed a system that decreases page-load times by 34 percent. Dubbed “Polaris,” the framework determines how to overlap the downloading of a page’s objects, such that the overall page requires less time to load.“It can take up to 100 milliseconds each time a browser has to cross a mobile network to fetch a piece of data,” says PhD student Ravi Netravali, who is first author…


Link to Full Article: System loads webpages 34% faster by fetching files more effectively

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!