Exploring the Effects of Multicast Communication on DDS Performance. - Kaleem Peeroo; Peter Popov; Vladimir Stankovic 002 (CoRR, 2022)

Data Availability Sampling in Ethereum: Analysis of P2P Networking Requirements. - Michal Król; Onur Ascigil; Sergi Rene; Etienne Rivière; Matthieu Pigaglio; Kaleem Peeroo; Vladimir Stankovic 002; Ramin Sadre; Felix Lange (CoRR, 2023)

A Survey on Experimental Performance Evaluation of Data Distribution Service (DDS) Implementations. - Kaleem Peeroo; Peter Popov; Vladimir Stankovic 002 (CoRR, 2023)

Machine Learning for Performance Prediction of Data Distribution Service (DDS). - Kaleem Peeroo; Peter Popov; Vladimir Stankovic 002; Tillman Weyde (EDCC, 2024)

The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others. - Daniel Sikar; Artur d'Avila Garcez; Robin Bloomfield; Tillman Weyde; Kaleem Peeroo; Naman Singh; Maeve Hutchinson; Mirela Reljan-Delaney (CoRR, 2024)

When to Accept Automated Predictions and When to Defer to Human Judgment? - Daniel Sikar; Artur d'Avila Garcez; Tillman Weyde; Robin Bloomfield; Kaleem Peeroo (CoRR, 2024)

PANDAS: Peer-to-peer, Adaptive Networking for Data Availability Sampling within Ethereum Consensus Timebounds. - Matthieu Pigaglio; Onur Ascigil; Michal Król; Sergi Rene; Felix Lange; Kaleem Peeroo; Ramin Sadre; Vladimir Stankovic 002; Etienne Rivière (CoRR, 2025)