PhFit: A General Phase-Type Fitting Tool
TOOLS '02 Proceedings of the 12th International Conference on Computer Performance Evaluation, Modelling Techniques and Tools
A Novel Approach for Phase-Type Fitting with the EM Algorithm
IEEE Transactions on Dependable and Secure Computing
IEEE Transactions on Mobile Computing
Phase-Type Approximations for Message Transmission Times in Web Services Reliable Messaging
SIPEW '08 Proceedings of the SPEC international workshop on Performance Evaluation: Metrics, Models and Benchmarks
Response-time measurements using the sun Java adventure builder
Proceedings of the 1st international workshop on Quality of service-oriented software systems
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Phase-type distributions for realistic modelling in discrete-event simulation
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Efficient generation of PH-Distributed random variates
ASMTA'12 Proceedings of the 19th international conference on Analytical and Stochastic Modeling Techniques and Applications
Cluster-based fitting of phase-type distributions to empirical data
Computers & Mathematics with Applications
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Phase-type (PH) distributions are proven to be very powerful tools in modelling and analysis of a wide range of phenomena in computer systems. The use of these distributions in simulation studies requires efficient methods for generating PH-distributed random numbers. In this work, we discuss algorithms for generating random numbers from PH distributions and propose two algorithms for reducing the cost associated with generating random numbers from Acyclic Phase-Type distributions (APH).