Shir Landau Feibish, a Post-Doctoral Researcher in Computer Science at Princeton University, presents her work “Network Analytics at Scale” on Friday, April 12th at 2:00 pm in Gates Hall 122.
The drastically growing scale of today’s networks makes managing them a significant challenge. Timely detection and response to events such as congestion, failure, and attack are crucial for proper network operation and require analyzing voluminous traffic quickly and accurately. To do so, we must devise new techniques for network monitoring and control, that identify and fix problems when and where they happen. In this talk I will present two results. First, I will present a system for real-time diagnosis of queue buildup in programmable switches, that detects congestion as it forms, and identifies the flows causing queue buildup within the data plane. Second, I will present a network-wide measurement infrastructure that generates a uniform sample of packets and flows, which is indifferent to the network topology, and routing configurations.