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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.
Senior Honors Thesis. Advisor: David M. Nicol
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
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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