Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
The scale factor: a new degree of freedom in phase-type approximation
Performance Evaluation - Dependable systems and networks-performance and dependability symposium (DSN-PDS) 2002: Selected papers
Approximation of Discrete Phase-Type Distributions
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
A Novel Approach for Phase-Type Fitting with the EM Algorithm
IEEE Transactions on Dependable and Secure Computing
Efficient phase-type fitting with aggregated traffic traces
Performance Evaluation
A minimal representation of Markov arrival processes and a moments matching method
Performance Evaluation
Numerical analysis of M/G/1 type queueing systems with phase type transition structure
Journal of Computational and Applied Mathematics
On the properties of acyclic bilateral phase type distributions
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Completed analysis of cellular networks with PH-renewal arrival call
Computer Communications
Approximate transient analysis of large stochastic models with WinPEPSY-QNS
Computer Networks: The International Journal of Computer and Telecommunications Networking
Response-time measurements using the sun Java adventure builder
Proceedings of the 1st international workshop on Quality of service-oriented software systems
IEEE Transactions on Information Theory
Stochastic Models for Dependable Services
Electronic Notes in Theoretical Computer Science (ENTCS)
A canonical representation of order 3 phase type distributions
EPEW'07 Proceedings of the 4th European performance engineering conference on Formal methods and stochastic models for performance evaluation
Multi-class Markovian arrival processes and their parameter fitting
Performance Evaluation
Performance evaluation of a single node with general arrivals and service
ASMTA'11 Proceedings of the 18th international conference on Analytical and stochastic modeling techniques and applications
An empirical comparison of MAP fitting algorithms
MMB&DFT'10 Proceedings of the 15th international GI/ITG conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
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
ProFiDo – a toolkit for fitting input models
MMB&DFT'10 Proceedings of the 15th international GI/ITG conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
Phase-type distributions for realistic modelling in discrete-event simulation
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Cluster-based fitting of phase-type distributions to empirical data
Computers & Mathematics with Applications
Electronic Notes in Theoretical Computer Science (ENTCS)
A two-phase map fitting method with APH interarrival time distribution
Proceedings of the Winter Simulation Conference
PH-distributed fault models for mobile communication
Proceedings of the Winter Simulation Conference
Multiple class G-networks with restart
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
Fault-Impact models based on delay and packet loss for IEEE 802.11g
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
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PhFit, a new Phase-type fitting tool is presented in this paper. The presented tool is novel from several aspects. It allows for approximating distributions or set of samples not only by continuous but by discrete Phase-type distributions as well. The implemented algorithms separate the fitting of the body and the tail part of the distribution which results in satisfactory fitting also for heavy-tail distributions. Moreover, PhFit allows the user to choose the distance measure according to which the fitting is performed.