23 citations · 40 across the 17 of their papers we have counts for
12 papers · 1 filter
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…
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…
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols
Luca Giacomoni, Basil Benny, George Parisis
Reinforcement Learning (RL) has gained significant momentum in the development of network protocols. However, RL-based protocols are still in their infancy, and substantial researc…
Developing and experimenting with LEO satellite constellations in OMNeT++
Aiden Valentine, George Parisis
In this paper, we present our work in designing and implementing a LEO satellite constellation simulation model1 within OMNeT++ and INET, which is validated by comparing the result…
Model Checking Software-Defined Networks with Flow Entries that Time Out (version with appendix)
Vasileios Klimis, George Parisis, Bernhard Reus
Software-defined networking (SDN) enables advanced operation and management of network deployments through (virtually) centralised, programmable controllers, which deploy network f…
Internet Traffic Volumes Are Not Gaussian -- They Are Log-Normal: An 18-Year Longitudinal Study With Implications for Modelling and Prediction (Complete Version)
Mohammed Alasmar, Richard Clegg, Nickolay Zakhleniuk +1
Getting good statistical models of traffic on network links is a well-known, often-studied problem. A lot of attention has been given to correlation patterns and flow duration. The…
Towards Model Checking Real-World Software-Defined Networks (version with appendix)
Vasileios Klimis, George Parisis, Bernhard Reus
In software-defined networks (SDN), a controller program is in charge of deploying diverse network functionality across a large number of switches, but this comes at a great risk:…
SCDP: Systematic Rateless Coding for Efficient Data Transport in Data Centres (Complete Version)
Mohammed Alasmar, George Parisis, Jon Crowcroft
In this paper we propose SCDP, a general-purpose data transport protocol for data centres that, in contrast to all other protocols proposed to date, supports efficient one-to-many…
On the Distribution of Traffic Volumes in the Internet and its Implications
Mohammed Alasmar, George Parisis, Richard G. Clegg +1
Getting good statistical models of traffic on network links is a well-known, often-studied problem. A lot of attention has been given to correlation patterns and flow duration. The…
Multipath-TCP in ns-3
Morteza Kheirkhah, Ian Wakeman, George Parisis
In this paper we present our work on designing and implementing an ns-3 model for MultiPath TCP (MPTCP). Our MPTCP model closely follows MPTCP specifications, as described in RFC 6…