Developing discrete event simulations from rigorous process definitions

Authors:
Mohammad S. Raunak;Leon J. Osterweil;Alexander Wise
Affiliations:
University of Massachusetts Amherst;University of Massachusetts Amherst;University of Massachusetts Amherst
Venue:
Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium
Year:
2011

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Abstract

A process modeling language that is easy to learn and use while grounded in rigorous semantics to facilitate execution and simulation has always been a big challenge for researchers. In this paper, we describe Little-JIL, a visual process modeling language and its runtime-infrastructure, Juliette, that is capable of driving a process with the help of participating human or computing agents. We then introduce JSim, a discrete-event simulation environment with flexible artifact management and intricate resource management capability built on top of the Little-JIL and Juliette framework. The factored architecture and rich modeling mechanism for both the process description as well as the resource specification has allowed us to simulate some dynamic and complex real-life systems in details.