Publications

2022

Online Learning on the Programmable Dataplane:
Kyle A. Simpson.
PhD Thesis (pre-Viva).
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Revisiting the Classics: Online RL in the Programmable Dataplane:
Kyle A. Simpson, Dimitrios P. Pezaros.
NOMS 2022 - IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, April 25–29.
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Poster: Online RL in the Programmable Dataplane with OPaL:
Kyle A. Simpson, Dimitrios P. Pezaros.
CoNEXT ‘21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7–10, 2021.
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Seiðr: Dataplane Assisted Flow Classification Using ML:
Kyle A. Simpson, Richard Cziva, Dimitrios P. Pezaros.
2020 IEEE Global Communications Conference: Next-Generation Networking and Internet (Globecom2020 NGNI), Taipei, Taiwan, December 7–11, 2020.
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Per-Host DDoS Mitigation by Direct-Control Reinforcement Learning:
Kyle A. Simpson, Simon Rogers, Dimitrios P. Pezaros.
IEEE Transactions on Network and Service Management Special Issue, ‘Cybersecurity Techniques for Managing Networked Systems’.
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On Maximum Weight Clique Algorithms, and How They Are Evaluated:
Ciaran McCreesh, Patrick Prosser, Kyle Simpson, James Trimble.
23rd International Conference on Principles and Practice of Constraint Programming.
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