7 papers
Emulation vs Simulation: A Case Study from Congestion Control Algorithms in Low Earth Orbit Satellite Networks
Aiden Valentine, Mihai Mazilu, James Knowles +2
Evaluating congestion control is inherently challenging because performance depends on the interaction between the congestion-control algorithm, transport stack, application behavi…
Tempest: A GPU-Accelerated Engine for Streaming Temporal Random Walks
Md Ashfaq Salehin, George Parisis, Luc Berthouze
Temporal random walks, which sample causality-preserving paths, are widely used to analyze time-stamped interactions in domains such as microservices, finance, and online platforms…
Evaluating Learning Congestion control Schemes for LEO Constellations
Mihai Mazilu, Aiden Valentine, George Parisis
Low Earth Orbit (LEO) satellite networks introduce unique congestion control (CC) challenges due to frequent handovers, rapidly changing round-trip times (RTTs), and non-congestive…
Learning-Based vs Human-Derived Congestion Control: An In-Depth Experimental Study
Mihai Mazilu, Luca Giacomoni, George Parisis
Learning-based congestion control (CC), including Reinforcement-Learning, promises efficient CC in a fast-changing networking landscape, where evolving communication technologies,…
OrbCC: High-Throughput and Low-Latency Data Transport for LEO Satellite Networks
Aiden Valentine, Ian Wakeman, George Parisis
The highly dynamic nature of Low-Earth Orbit (LEO) satellite networks introduces challenges that existing transport protocols fail to address, including non-congestive latency vari…
Complexity at Scale: A Quantitative Analysis of an Alibaba Microservice Deployment
Giles Winchester, George Parisis, Guoyao Xu +1
Microservice management and testbed research often rests on assumptions about deployments that have rarely been validated at production scale. While recent studies have begun to ch…