Compute-First Networking (Dagstuhl Seminar 21243)

Authors Jon Crowcroft, Philip Eardley, Dirk Kutscher, Eve M. Schooler and all authors of the abstracts in this report

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Author Details

Jon Crowcroft
  • University of Cambridge, GB
Philip Eardley
  • BT Applied Research - Ipswich, GB
Dirk Kutscher
  • FH Emden, DE
Eve M. Schooler
  • Intel - Santa Clara, US
and all authors of the abstracts in this report

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Jon Crowcroft, Philip Eardley, Dirk Kutscher, and Eve M. Schooler. Compute-First Networking (Dagstuhl Seminar 21243). In Dagstuhl Reports, Volume 11, Issue 5, pp. 54-75, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


A Dagstuhl seminar on Compute-First Networking (CFN) was held online from June 14th to June 16th 2021. We discussed the opportunities and research challenges for a new approach to in-network computing, which aims to overcome limitations of traditional edge/in-network computing systems. The seminar discussed relevant use cases such as privacy-preserving edge video processing, connected and automated driving, and distributed health applications leveraging federated machine learning. A discussion of research challenges included an assessment of recent and expected future developments in networking and computing platforms and the consequences for in-network computing as well as an analysis of hard problems in current edge computing architectures. We exchanged ideas on a variety of research topics and about the results of corresponding activities in the larger fields of distributed computing and network data plane programmability. We also discussed a set of suggested PhD topics and promising future research directions in the CFN space such as split learning that is supported by in-network computing.

Subject Classification

ACM Subject Classification
  • Networks → Network architectures
  • Networks → Network design principles
  • Distributed Machine Learning
  • distributed systems
  • edge-computing
  • in-network computing
  • networking


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