Info

The IMCA tool is written in C++. It compiles on Linux systems, if all needed libraries are available. It was also testetd succesfully under Mac OSX and Windows with cygwin.

Stochastic Job Scheduling Problem

Introduction

This case studie is based on the stochastic job scheduling problem (sJSP) from [BDF81]. The modelation of the sJSP as IMC is based on the modelling as CTMDP in Model Checking Nondeterministic and Randomly Timed Systems. The figure below depicts a fragment of the IMC model induced by the (2,4,r) sJSP.

The example source of the model with the rates r1=0.25, r2=0.33, r3=1.25, and r4=1.5 can be found here: sJSP.imc


Model

We construct the (2,4,r) sJSP with rates r1=0.25, r2=0.33, r3=1.25, and r4=1.5.

Time-Bounded Reachability

We have computed the minimum and maximum time-bounded reachability probability for a time-bound z=14.

minimum

maximum

time interval:[0,14][0,14]
error bound:0.00010.0001
time:3.61088 seconds3.606 seconds

News

03.08.2014

IMCA 1.6 beta Bugfix.

10.07.2014

IMCA 1.6 beta available. Includes full support of Markov automata with rewards.

More recent versions available at github!

08.03.2013

IMCA 1.5 beta update available. Includes bcg2imca translator and an interval step output for time-bounded reachability.

14.02.2013

IMCA 1.5 beta available. Changes in MEC decomposition for long-run average computation, small bugfixes and new examples.

08.11.2012

IMCA 1.4 beta available. Bugfixes and extension with time- and step-bounded reachability for Markov automata.

29.03.2012

IMCA 1.3 beta available as command-line tool. Usage of the SoPlex library and Markov Automata support. Functionality reduction to unbounded reachability, expected-time and long-run average. Full functionality will follow.

05.01.2012

IMCA 1.2 beta available, including LP Solve library and LRA computation.

20.01.2011

Update of the IMCA tool to version 1.1.

10.10.2010

First release of the IMCA tool.