Application of the Diffusion Approximation to Queueing Networks I: Equilibrium Queue Distributions
Journal of the ACM (JACM)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Hybrid Packet/Fluid Flow Network Simulation
Proceedings of the seventeenth workshop on Parallel and distributed simulation
RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Simulation of Network Traffic at Coarse Timescales
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Parallel Simulation of Hybrid Network Traffic Models
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
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We present our preliminary work that develops a new approach to hybrid packet/analytic network simulations for improved network simulation fidelity, scale, and simulation efficiency. Much work in the literature addresses this topic, including [10] [11] [8] [12] [13] and others. Current approaches rely upon models, which we refer to in this paper as Deterministic Fluid Models [9] [12], to address the analytic modeling aspects of these hybrid simulations. Instead we draw upon an extensive literature on stochastic models of queues and (eventually) networks of queues to implement a hybrid stochastic model/packet network simulation. We will refer to our approach as Stochastic Fluid Models throughout this paper. We outline our approach, present test cases, and present simulation results comparing the measured queue metrics from our approach for hybrid simulation to those of a deterministic fluid model hybrid simulation and a full packet–level simulation. We also discuss plans for future areas of research on this approach.