MAMSolver: A Matrix-Analytic Solver for M/G/1, GI/M/1 and QBD processes
MAMSolver is a tool that provides implementation for the
matrix-analytic algorithms.
The tool provides solutions for both continuous and discrete time Markov chains
of QBD, GI/M/1 and M/G/1-types. The solution of these type of processes using the
matrix-analytic methodology is characterized by matrix-based operations. The
two most important matrices computed are R  for QBD and GI/M/1-type processes
and G  for QBD and M/G/1-type processes.
These two important matrices in MAMSolver are computed using both classic and
the most recent efficient algorithms. For example the matrix G  and R
  for QBD processes are computed using the logarithmic reduction algorithm, while
the matrix G  for M/G/1-type processes is computed using the cyclic-reduction
algorithm.
The input for MAMSolver is a text file which consist of the matrices of the
infinitesimal generator (or the transition probability matrix) for the process
under study (check the examples on the left for more details).
The output from MAMSolver consist of:
1 - system load measured using the drift condition and caudal charateristic (file "drift
-conditions")
2 - matrix G  (file "G-matrix")
3 - matrix R  (file "R-matrix")
4 - stationary probability distribution (file "probability")
5 - queue length distribution (file "QL-dist")
6 - average queue length (file "QL-length")
More information on the structure of MAMSolver can be found in the paper
presented at the TOOLS 2002 conference (ps, or
pdf).
This work has been supported by National Science Foundation
under grands EIA-9974992,
CCR-0098278, and
ACI-0090221.