BIB-VERSION:: CS-TR-v2.0
ID:: ncstrl.dartmouthcs//TR2001-405
ENTRY:: June 05, 2001
ORGANIZATION:: Dartmouth College, Computer Science
TITLE:: DaSSFNet: An Extension to DaSSF for High-Performance Network Modeling
TYPE:: Technical Report (paper)
REVISION:: 1
AUTHOR:: Iyigun, Mehmet
DATE:: June 2001
RETRIEVAL:: For a paper copy, email <reports@cs.dartmouth.edu>
RETRIEVAL:: For a paper copy, write to
       Technical Report Librarian
       Department of Computer Science
       Dartmouth College
       6211 Sudikoff Laboratory
       Hanover, NH 03755-3510
       USA
RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR2001-405.ps.Z
RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR2001-405.pdf
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
END:: ncstrl.dartmouthcs//TR2001-405