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
Analysis of Restart Mechanisms in Software Systems
IEEE Transactions on Software Engineering
Valgrind: a framework for heavyweight dynamic binary instrumentation
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Stochastic Models for Fault Tolerance: Restart, Rejuvenation and Checkpointing
Stochastic Models for Fault Tolerance: Restart, Rejuvenation and Checkpointing
Simulating stochastic processes with OMNeT++
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ISAS'04 Proceedings of the First international conference on Service Availability
Reducing the cost of generating APH-Distributed random numbers
MMB&DFT'10 Proceedings of the 15th international GI/ITG conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
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Phase-type (PH) distributions are a valuable tool for representing real-world phenomena such as failure-times or response-times in an analytically tractable way. Recently, the application of phase-type distributions in simulation has received increasing attention. In simulation, phase-type distributions enable good representation of empirical distributions, even if the data does not follow one of the well-known statistical distributions. Furthermore, since phase-type distributions have Markovian representations, analytical approaches can be used to support simulation results. So far, however, well-known discrete-event simulators do not support PH distributions. In this paper we introduce the libphprng library for generating random-variates from PH distributions. Libphprng combines efficient methods with easy usage. Furthermore, libphrng integrates seamlessly with discrete-event simulators such as OMNeT++ without any changes to the library core.