Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Genesis: a system for large-scale parallel network simulation
Proceedings of the sixteenth workshop on Parallel and distributed simulation
Fluid simulation: discrete event fluid modeling of TCP
Proceedings of the 33nd conference on Winter simulation
Composite Synchronization in Parallel Discrete-Event Simulation
IEEE Transactions on Parallel and Distributed Systems
Computing in Science and Engineering
Hybrid Packet/Fluid Flow Network Simulation
Proceedings of the seventeenth workshop on Parallel and distributed simulation
A Mixed Abstraction Level Simulation Model of Large-Scale Internet Worm Infestations
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Large-scale network simulation techniques: examples of TCP and OSPF models
ACM SIGCOMM Computer Communication Review
A federated approach to distributed network simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
MAYA: Integrating hybrid network modeling to the physical world
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Scalable fluid models and simulations for large-scale IP networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Space-parallel network simulations using ghosts
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Traffic-based Load Balance for Scalable Network Emulation
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Packet-level integration of fluid TCP models in real-time network simulation
Proceedings of the 38th conference on Winter simulation
Differential Equations Computing and Modeling
Differential Equations Computing and Modeling
Stochastic Process Models for Packet/Analytic-Based Network Simulations
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
Parallel Hybrid Network Traffic Models
Simulation
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We examine a parallel processing method for simulations of large-scale networks with a hybrid traffic representation combining both a time-stepped fluid model and a discrete-event packet-oriented model. This method benefits from the observation that the time it takes to propagate fluid characteristics along the path taken by the traffic flows has a lower bound equal to the minimum link delay as manifested by the governing ordinary differential equations (ODEs). A better lookahead can thus be used to allow parallel simulation of the hybrid model to run without more synchronization overhead than the corresponding discrete-event packet-oriented model. We derive an analytical model comparing the fluid model and the packet-oriented model both for sequential and parallel simulations. We demonstrate the benefit of the parallel hybrid model through a series of simulation experiments of a large-scale network consisting of over 170,000 hosts and 1.6 million traffic flows on a small parallel cluster.