QPME Features

If you have a suggestion for how to improve or enhance QPME in directions not covered by the features below, please file a feature request in our feature request tracker.

Currently Supported Features (v2.00)

Model Analysis Methods

  • Discrete Event Simulation (SimQPN)

    • Method of non-overlapping batch means
    • Method of independent replications (replication/deletion approach)
    • Method of Welch for estimating the length of the initial transient

  • Support for simulating hierarchical QPNs (HQPNs)

Reported Metrics

  • Token throughput (arrival and departure rates)
  • Minimum/maximum number of tokens
  • Average number of tokens
  • Token color occupancy
  • Queue utilization
  • Minimum/maximum observed token residence time
  • Mean and standard deviation of observed token residence times
  • Confidence interval for the steady state mean token residence time
  • Custom probes for observing token residence times across multiple places
  • Histogram of observed token residence times
  • Interface to the statistical tool R for further statistical analysis

Results Visualization

  • Tabular data
  • Bar charts
  • Pie charts
  • Histograms

Supported Queueing Disciplines

  • First-Come-First-Served (FCFS)
  • Processor-Sharing (PS)
  • Infinite Server (IS)

Supported Service-time Distributions for Queues

  • Beta
  • BreitWigner
  • BreitWignerMeanSquare
  • ChiSquare
  • Gamma
  • Hyperbolic
  • Exponential
  • ExponentialPower
  • Logarithmic
  • Normal
  • StudentT
  • Uniform
  • VonMises
  • Empirical
  • Deterministic

 

Supported Extensions to Standard QPNs

  • Global QPN-wide list of token colors
  • Distinction of firing weights at the transition level from the firing mode level
  • First-In-First-Out (FIFO) token departure discipline for places
  • Possibility to share queues among multiple queueing places

Features Under Development

Model Analysis Methods

  • Further techniques for simulation output data analysis

    • Spectral analysis
    • Standardized time series

  • Further variance reduction techniques
  • Further methods for estimating the length of the initial transient (warm-up period)

Planned Future Extensions

Model Expressiveness

  • Load-dependent service times (resource demands)
  • Further scheduling strategies for queues (e.g., GPS, Priority)
  • Transition priorities and inhibitor arcs
  • Timed transitions and immediate queueing places

Model Analysis Methods

  • Support for parallel/distributed simulation
  • Support for analytical solution techniques

    • Structured analysis techniques (e.g., structured SOR, structured JOR)
    • Product-form solution techniques
    • Approximation techniques

  • Support for tolerance limits

Change Logs