The Case For In-Network Computing On Demand

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• Noa Zilberman (Computer Lab)
• Friday 22 March 2019, 15:00-16:00
• FW26, Computer Laboratory, William Gates Building.

If you have a question about this talk, please contact Marco Caballero.

This is a practice talk for EuroSys 2019.

Abstract: Programmable network hardware can run services traditionally deployed on servers, resulting in orders-of-magnitude improvements in performance. Yet, despite these performance improvements, network operators remain skeptical of in-network computing. The conventional wisdom is that the operational costs from increased power consumption outweigh any performance benefits. Unless in-network computing can justify its costs, it will be disregarded as yet another academic exercise. In this paper, we challenge that assumption, by providing a detailed power analysis of several in-network computing use cases. Our experiments show that in-network computing can be extremely power-efficient. In fact, for a single watt, a software system on commodity CPU can be improved by a factor of ×100 using FPGA , and a factor of ×1000 utilizing ASIC implementations. However, this efficiency depends on the system load. To address changing workloads, we propose In-Network Computing On Demand, where services can be dynamically moved between servers and the network. By shifting the placement of services on-demand, data centers can optimize for both performance and power efficiency.

This is joint work with Yuta Tokusashi (Keio University) , Huynh Tu Dang, Fernando Pedone, and Robert Soulé (Università della Svizzera italiana).

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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