DONS: Fast and Affordable Discrete Event Network Simulation with Automatic Parallelization
Kaihui Gao, Li Chen, Dan Li, Vincent Liu, Xizheng Wang, Ran Zhang, Lu Lu
Abstract
Discrete Event Simulation (DES) is an essential tool for network practitioners. Unfortunately, existing DES simulators cannot achieve satisfactory performance at the scale of modern networks. Recent work has attempted to address these challenges by reducing the traffic processed via novel approximation techniques; however, we argue in this paper that much of the slowdown of existing DES simulators is due to their underlying software architecture.
Topics & Concepts
Discrete event simulationComputer scienceEvent (particle physics)Distributed computingSoftwareArchitectureSlowdownScale (ratio)Work (physics)Parallel computingComputer architectureSimulationOperating systemEngineeringPolitical sciencePhysicsMechanical engineeringVisual artsLawArtQuantum mechanicsNetwork Traffic and Congestion ControlSimulation Techniques and ApplicationsAdvanced Data Storage Technologies