Online Learning on the Programmable Dataplane: Kyle A. Simpson.
PhD Thesis (pre-Viva).
Author-final PDFTeX source
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.
Author-final PDFSource code
2021
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.
Author-final PDFDOI
2020
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.
Author-final PDFDOI
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’.
Author-final PDFDOISource code
2017
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.
Author-final PDFDOIBenchmark instances