Title :
SSJ: a framework for stochastic simulation in Java
Author :
L´Ecuyer, P.L. ; Meliani, Lakhdar ; Vaucher, Jean
Author_Institution :
Departement d´´Informatique et de Recherche Operationnelle, Univ. de Montreal, Que., Canada
Abstract :
We introduce SSJ, an organized set of software tools implemented in the Java programming language and offering general-purpose facilities for stochastic simulation programming. It supports the event view, process view, continuous simulation, and arbitrary mixtures of these. Performance, flexibility, and extensibility were key criteria in its design and implementation. We illustrate its use by simple examples and discuss how we dealt with some performance issues in the implementation.
Keywords :
Java; digital simulation; object-oriented programming; software tools; stochastic processes; Java programming language; SSJ; continuous simulation; event view; extensibility; performance; process view; software tools; stochastic simulation programming; Computational modeling; Computer languages; Costs; Discrete event simulation; Investments; Java; Packaging; Simultaneous localization and mapping; Software tools; Stochastic processes;
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
DOI :
10.1109/WSC.2002.1172890