May 6, 2019 –
Date: May 6, 2019
Location: HBL 1947 Room
Title: Design and Implementation of Fast & Secure Network Protocols for Datacenters
Datacenters have become a critical infrastructure for hosting online services such as web search, stock trading, social networking, and product advertising. Such services usually generate a large number of short but latency-sensitive flows and a small number of long but delay-tolerant flows. For short flows, even a fraction of a second increase in latency can make a quantifiable difference in application performance, which in turn, impacts user experience and operator revenue. For example, Amazon found that every additional 100ms of latency costs them 1% loss in business revenue. Similarly, with the design of new technologies, protocols introduce new security vulnerabilities. In this talk, first, I will focus on how we can improve the performance and design of datacenter networks. In this direction, I will present my work at i) task, ii) network, and iii) tenant level algorithms. Second, I will focus on how we can make network protocols more secure and I will present my work on network based zero-day attack prevention and multipath TCP security. Finally, I will conclude my talk with future research goals.
Ali Munir received his PhD from the Department of Computer Science & Engineering at Michigan State University. He received his BS in Electronics Engineering and MS in Electrical Engineering from National University of Sciences and Technology (NUST), Pakistan. He was a Lecturer at the NUST, Islamabad, Pakistan, for FALL 2012. He has research experience in industry research labs, such as Microsoft Research Cambridge, IBM Thomas J. Watson Research Center, AT&T Labs, and Hewlett Packard Enterrpise Labs. His research interests focus on networking and security, and he has published prolifically in refereed journals and conference proceedings, such as IEEE/ACM ToNs, IEEE TPDS, ACM SIGCOMM, ACM CoNEXT, IEEE INFOCOM etc. He also won the Outstanding Graduate Student Award (2019) in the department of computer science & engineering at Michigan State University.