Distinguished Lecture (VIRTUAL): Networked Systems in the Era of Programmable Dataplanes

Abstract: Emerging networking architectures are allowing for flexible
and reconfigurable packet processing at line rate both on the switch
and the NIC. Despite their promising new functionality, programmable
switches and NICs are not all-powerful; they have limited state,
support limited types of operations, and limit per-packet computation
to operate at line rate. In this talk, I will describe how to
implement in-network functionality while masking resource limitations
and how to accelerate distributed applications using modestly-equipped
computing elements that are strategically placed. In addition to
presenting case studies of optimizing networked systems, I will
reflect on the role of programmable dataplanes in datacenter
computing.

Bio: Arvind Krishnamurthy is the Short-Dooley Professor at the Paul G.
Allen School of Computer Science & Engineering. His research interests
span various aspects of building effective and robust computer
systems, in the context of both data centers and Internet-scale
systems. More recently, his research has focused on programmable
networks and systems for machine learning. He is an ACM fellow, a past
program chair of ACM SIGCOMM and Usenix NSDI and serving on their
technical steering committees, is the Vice President of Usenix, and
serves on the ICSI and CRA boards.