Скачать или смотреть Programmable Networks: Hardware, Software, and Applications | Prof. Anirudh Sivaraman

Title: Programmable Networks: Hardware, Software, and Applications
Speaker: Prof. Anirudh Sivaraman
Date: 26/09/2023

Abstract: Computer networks are amid a transformation: from delivering
packets between two locations to programmatically transforming packets
while they are in transit. Our overarching research vision is to make
programmability a commodity feature of networks, like connectivity
today. Within this vision, I will describe 3 of our research
projects---spanning hardware, systems software, and applications.
Menshen provides hardware and software support for multi-tenancy on
fast packet-processing devices, paving the way for future
packet-processing-as-a-service offerings in the public cloud. CaT and
Chipmunk leverage program synthesis to provide compiler technology for
fast packet processing pipelines found on switches and
network-interface cards. Deadline-ordered multicast (DOM) is a new
multicast primitive that leverages synchronized clocks. We show how
DOM provides a useful building block for many cloud-native distributed
applications including consensus protocols and fair-access stock
exchanges. Time permitting, I will briefly discuss ongoing research
agenda to build a programmable processor for in-line transformations
of remote procedure calls (RPCs). We believe such RPC processors can
provide a flexible and high-performance communication substrate for
future distributed applications.


Bio: Anirudh Sivaraman is an assistant professor at NYU's Computer
Science Department in the Courant Institute. His recent research has
focused on hardware, system software, and applications for
programmable networks. He also works closely with the P4 community,
Barefoot Networks (now part of Intel), and Clockwork. His past
research includes work on congestion control, network emulation, and
network measurement. He received the MIT EECS department's Frederick
C. Hennie III Teaching Award in 2012, the IETF/IRTF's Applied
Networking Research Prize in 2014, the ACM SIGCOMM Best Paper Award in
2017, the ACM SIGCOMM Doctoral Dissertation Award in 2018, the Amazon
Research Award in 2021, and the Google Cyber NYC Research Award in
2023. Before coming to NYU, he received a PhD from MIT in 2017, an
S.M. from MIT in 2012, and a BTech from IIT Madras in 2010