Application data requirements vs. available network bandwidth has been the ongoing Battle of the Information Age, but now it appears that a truce is within reach, based on new research from NJIT Associate Professor Jacob Chakareski. Chakareski and his team, collaborating with peers from University of Massachusetts-Amherst, devised a system to make network requests err on the side of smallness and upscale the difference through a neural network running on the receiving hardware.
They call it BONES — Buffer Occupancy-based Neural-Enhanced Streaming — which will be presented at the ACM Sigmetrics conference in Venice, Italy this summer, where only about 10% of submitted papers are accepted. To read the full story.