Simulation of large-scale networks using SSF

David M. Nicol, Jason Liu, Michael Liljenstam, Guanhua Yan

Research output: Contribution to journalConference articlepeer-review


Some applications of simulation require that the model state be advanced in simulation time faster than the wall-clock time advances as the simulation executes. This faster than real-time requirement is crucial, for instance, when a simulation is used as part of a real-time control system, working through the consequences of contemplated control actions, in order to identify feasible (or even optimal) decisions. This paper considers the issue of faster than real-time simulation of very large communication networks, and how this is accomplished using our implementation (in C++) of the Scalable Simulation Framework (SSF). Our tool (called iSSF) uses hierarchical levels of abstraction, and parallelism, to achieve speedups of nearly four orders of magnitude, enabling real-time execution rates on large network models. We quantify the effects that choice of hierarchical abstraction has on the simulation time advance rate, and show empirically how changing the abstraction mix affects the execution rate on a large network example.

Original languageEnglish (US)
Pages (from-to)650-657
Number of pages8
JournalWinter Simulation Conference Proceedings
StatePublished - 2003
EventProceedings of the 2003 Winter Simulation Conference: Driving Innovation - New Orleans, LA, United States
Duration: Dec 7 2003Dec 10 2003

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics


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