Challenging the Stateless Quo of Programmable Switches-Reference-Cited by-同舟云学术

Challenging the Stateless Quo of Programmable Switches

Published:2020-11-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th ACM Workshop on Hot Topics in Networks
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Author:

Gebara Nadeen¹,Lerner Alberto²,Yang Mingran³,Yu Minlan⁴,Costa Paolo⁵,Ghobadi Manya³

Affiliation:

1. Imperial College London, London, United Kingdom

2. University of Fribourg, Fribourg, Switzerland

3. Massachusetts Institute of Technology, Cambridge, MA, USA

4. Harvard University, Cambridge, MA, USA

5. Microsoft Research, Cambridge, United Kingdom

Funder

UK Engineering and Physical Sciences Research Council (EPSRC)

European Research Council (ERC) under the European Union Horizon 2020 Research and Innovation Program

Microsoft Research PhD Scholarship Program and SystemsThatLearn@CSAIL Ignite Grant

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3422604.3425928

Reference54 articles.

1. Arista. 7170 Series Programmable Data Center Switches. https://www.arista.com/assets/data/pdf/Datasheets/7170-Datasheet.pdf. Arista. 7170 Series Programmable Data Center Switches. https://www.arista.com/assets/data/pdf/Datasheets/7170-Datasheet.pdf.

2. Barefoot. Tofino. https://www.barefootnetworks.com/products/brief-tofino-2/. Barefoot. Tofino. https://www.barefootnetworks.com/products/brief-tofino-2/.

3. G. Bloch. 2019. Accelerating Distributed Deep Learning with In-Network Computing Technology. In APNET. https://conferences.sigcomm.org/events/apnet2019/slides/Industrial_1_3.pdf G. Bloch. 2019. Accelerating Distributed Deep Learning with In-Network Computing Technology. In APNET. https://conferences.sigcomm.org/events/apnet2019/slides/Industrial_1_3.pdf

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