Exact aggregate solutions for M/G/1-type Markov processes
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Exact aggregate solutions for M/G/1-type Markov processes
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Efficient fitting of long-tailed data sets into phase-type distributions
ACM SIGMETRICS Performance Evaluation Review
M/G/1-Type Markov Processes: A Tutorial
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An EM-based technique for approximating long-tailed data sets with PH distributions
Performance Evaluation - Internet performance symposium (IPS 2002)
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Queueing Systems: Theory and Applications
Modeling, analysis, measurement and experimentation with the Tangram-II integrated environment
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
jMarkov: an object-oriented framework for modeling and analyzing Markov chains and QBDs
SMCtools '06 Proceeding from the 2006 workshop on Tools for solving structured Markov chains
User-perceived QoS mechanism under SCTP/IPv6
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
The Fourth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness & Workshops
Triangular M/G/1-Type and Tree-Like Quasi-Birth-Death Markov Chains
INFORMS Journal on Computing
QBD sensitivity analysis tool using discrete-event simulation and extension of SMCSolver
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
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MAMsolver is a software tool for the solution of M/G/1- type, GI/M/1-type, and QBD processes. The collection of solution algorithms implemented by MAMsolver are known as matrix-analytic methods and are used to compute stationary measures of interest such as the probability vector, the queue length distribution, the waiting time, the system queue length, and any higher moments of the queue length. The tool also provides probabilistic measures that describe the stability of the queueing system such as the caudal characteristic.