Reservoir’s Latest Findings on Network Bottlenecks at ACM Sigmetrics 2020
Though the Sigmetrics conference, the flagship event of the ACM special interest group for the computer systems performance evaluation community, has been canceled this year, Reservoir Labs has been recognized by the organization for its research “On the Bottleneck Structure of Congestion-Controlled Networks.” Also published as open-access in Vol. 3, No. 3 Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), these findings introduce the Theory of Bottleneck Ordering, a mathematical framework that reveals the bottleneck structure of data networks. This research is led by Jordi Ros-Giralt, Fellow & Managing Engineer of Reservoir Labs, in close collaboration with researchers from Yale University, University of Virginia, and Reservoir Labs’ Networking R&D team.