EE Seminar: Optimal Oblivious Reconfigurable Networks

(The talk will be given in English)

Speaker:     Dr. Daniel Amir

                                Viterbi Faculty of Electrical and Computing Engineering, Technion

Monday, April 7^th, 2025

13:00 - 14:00

Optimal Oblivious Reconfigurable Networks

Abstract

As datacenter network traffic grows explosively, outpacing Moore's law, packet switching capabilities are struggling to meet the demands of modern data centers. Recent hardware advances have enabled the new switching technology of fast, nanosecond-scale circuit switches. These have the potential to fully replace packet switches, but realizing this potential requires novel network designs.

In this talk, I will present my research into the Oblivious Reconfigurable Network (ORN) design paradigm, which is ideally suited to this new switching technology. I will present Shale, the first ORN design capable of supporting a datacenter-scale network, achieving orders of magnitude better latency and memory requirements than prior designs at this scale. Shale achieves a tunable tradeoff between throughput and latency, and is enabled by novel techniques including interleaving, congestion control for multi-hop ORNs, and unique hardware optimizations. For each of Shale's tunings, the tradeoff between throughput and latency scaling is Pareto optimal among all ORN designs. Finally, I will discuss follow-on work on Semi-Oblivious Reconfigurable Networks (SORNs), which enhance ORNs through periodic optimization based on network demand, further improving the performance possible on fast circuit-switched networks.

Short Bio

Daniel Amir is a Postdoctoral Fellow at the Technion, supervised by Mark Silberstein. His research focuses on developing next-generation networks that leverage cutting-edge hardware to address the network demands of the future. He recently completed his Ph.D. in Computer Science at Cornell University, where he was advised by Hakim Weatherspoon and collaborated extensively with Robert Kleinberg. His dissertation work focused on developing Shale, the first oblivious reconfigurable network design which can scale to an entire datacenter. Prior to his Ph.D., he earned undergraduate degrees in Computer Science and in Engineering Physics from the University of Illinois Urbana-Champaign.

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