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DaSSFNet: An Extension to DaSSF for High-Performance Network Modeling
Mehmet Iyigun
Dartmouth TR2001-405

Abstract: Scalable Simulation Framework (SSF) is a discrete-event simulation framework providing a unified programming interface geared towards network simulation. Dartmouth SSF (DaSSF) is a C++ implementation of SSF, designed for simulating very large-scale multi-protocol communication networks. As of the latest release, DaSSF lacks many features present in SSF and this prevents it from achieving mainstream use. To alleviate this shortcoming we designed and implemented DaSSFNet which extends DaSSF to the levels of functionality found in SSF. In this paper, we show that DaSSFNet and SSFNet are identical in operation given the same input. We also show that DaSSFNet is about twice as fast and has one third the memory consumption of SSFNet when simulating identical networks. Therefore, we argue, that the DaSSF simulation package with DaSSFNet now offers a viable alternative to SSF in high-performance network simulation.

Note: Senior Honors Thesis. Advisor: David M. Nicol

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   Mehmet Iyigun, "DaSSFNet: An Extension to DaSSF for High-Performance Network Modeling." Dartmouth Computer Science Technical Report TR2001-405, June 2001.

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