I’m Kyle Simpson Orcid Link, an Extensibility Engineer at Arista Networks. I completed my PhD in the University of Glasgow’s Netlab/Systems Section on the intersection of programmable dataplane hardware and data-driven networking. Unabashed rustacean, Emotion Engine advocate, and lover of weird hardware!
I take interest in research of network programmability, reinforcement learning, computer graphics and combinatorial search, and enjoy hobbyist game development and cooking.
I love solving hard problems in new fields—feel free to email me at any time.
Blog
- Looking back on 2022: 17 February 2023.
- (Almost) Lockless Stream Buffering: 27 April 2020.
- Thoughts on Vana'diel: 31 May 2019.
- Felyne Bot, and Initial Thoughts on Rust: 27 February 2018.
- Custom Open vSwitch Actions: 4 December 2017.
Recent Talks/Posters
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Revisiting the Classics: Online RL in the Programmable Dataplane:
12 December 2022,
Scottish Autonomous Networked Systems Event, James Watt Building, University of Glasgow.
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TruSDEd: Composable, Efficient, Secure XDP Service Function Chaining on Single-Board Computers:
8 November 2022,
Glasgow Systems Section Internal Seminar, SAWB 422, University of Glasgow.
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TruSDEd: Trustworthy, Software-Defined Cyberattack Detection and Mitigation at the Network Edge:
16 June 2022,
PETRAS Academic Community Conference, June 2022, Goodenough College, London.
Video Recording -
Revisiting the Classics: Online RL in the Programmable Dataplane:
26 April 2022,
NOMS 2022, Ensana Thermal Margitsziget, Budapest.
Video Recording -
Poster: Online RL in the Programmable Dataplane with OPaL:
9 December 2021,
The 17th International Conference on emerging Networking EXperiments and Technologies, Munich, Germany (Virtual).
Abstract
Recent Publications and Conference Papers
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Online Learning on the Programmable Dataplane:
Kyle A. Simpson.
PhD Thesis.
PDF TeX source DOI -
Revisiting the Classics: Online RL in the Programmable Dataplane:
Kyle A. Simpson, Dimitrios P. Pezaros.
IEEE/IFIP NOMS 2022.
SICSA PhD Conference Best Paper.
Author-final PDF DOI Source code -
Poster: Online RL in the Programmable Dataplane with OPaL:
Kyle A. Simpson, Dimitrios P. Pezaros.
CoNEXT 2021 Posters.
Author-final PDF DOI -
Seiðr: Dataplane Assisted Flow Classification Using ML:
Kyle A. Simpson, Richard Cziva, Dimitrios P. Pezaros.
IEEE GLOBECOM 2020.
Author-final PDF DOI -
Per-Host DDoS Mitigation by Direct-Control Reinforcement Learning:
Kyle A. Simpson, Simon Rogers, Dimitrios P. Pezaros.
IEEE TNSM, March 2020.
Author-final PDF DOI Source code