Results 211 to 220 of about 34,120 (258)

Parallel Discrete-Event Simulation

IEEE Design & Test of Computers, 1987
The availability of commercial multiprocessors gives a new importance to distributed simulation. However, while existing techniques exploit some levels of parallelism in the discrete-event simulation algorithm, they are usually targeted to specific applications and architectures.
Walid A. Najjar, Jean-Luc Jezouin, Jean-Luc Gaudiot   +2 more
openaire   +1 more source

Discrete-event simulation in Ada

Proceedings of the 1987 annual ACM SIGAda international conference on Ada - SIGAda '87, 1987
This paper presents two approaches for doing discrete-event simulation in Ada. One approach is based on coroutines, and the other solely uses the pseudo-parallel execution scheme of Ada tasks. Concerning coroutines, we present two techniques to implement them.
C. Amiguet, André Schiper
openaire   +1 more source

Discrete-event simulation and the event horizon

ACM SIGSIM Simulation Digest, 1994
The event horizon is a very important concept that is useful for both parallel and sequential discrete-event simulations. By exploiting the event horizon, parallel simulations can process events in a manner that is risk-free (i.e., no antimessages) in adaptable “breathing” time cycles with variable time widths.
openaire   +1 more source

Trends in Discrete Event Simulations

2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 2008
Discrete event simulation technologies have been up and down as global manufacturing industries went through radical changes. The changes have created new problems, challenges and opportunities to the discrete event simulation. On manufacturing applications, it is no longer an isolated model but the distributed modeling and simulation along the supply ...
openaire   +1 more source

Using Ada for discrete event simulation

Software: Practice and Experience, 1984
AbstractThe process interaction approach is proposed for developing a discrete simulation environment in Ada. The introduction of simulation facilities in Ada not only concerns the classical aspect of model building, but allows a new class of problems to be tackled, that is the testing of correctness of programs intended for real‐time applications.
openaire   +2 more sources

On Terminating a Distributed Discrete Event Simulation

Journal of Parallel and Distributed Computing, 1993
This paper studies the termination problem for a distributed discrete event simulation in a computing environment where message sending does not preserve FIFO property (i.e., the messages may not be delivered in the order they are sent). The distributed simulation considered is synchronized by a rollback mechanism.
openaire   +1 more source

Discrete event simulation in algol 68

Software: Practice and Experience, 1975
AbstractAn outline of the three phase method of discrete event simulation is given, and problems in designing a language for this method based on ALGOL 68, together with the final form of the language, are discussed. An important area is seen to be that of lists or sets, and the necessity of devising facilities that are powerful yet simple to use is ...
openaire   +2 more sources

Combining Discrete Event Simulations and Event Sourcing

Proceedings of the Seventh International Conference on Simulation Tools and Techniques, 2014
Discrete event simulations (DES) represent the status quo for many different types of simulations. There are still open challenges, such as designing distributed simulation architectures, providing development and debugging support, or analyzing and evaluating simulation runs.
Benjamin Erb, Frank Kargl
openaire   +1 more source

Discrete event simulation using event calculus

Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94, 2002
This paper presents the theory and implementation of a logic based discrete event simulation system. The representation language of the simulation is Horn clause logic. The simulation's theory of time is based on event calculus. The scheduling algorithm generates event notices for all activities that can be performed.
openaire   +1 more source

Discrete-Event Simulation

2015
A discrete-event simulation (DES) is characterized by discrete changes in the sim-ulation’s state as the simulation evolves over time. Examples of systems that might be evaluated using DES include: queueing systems, such as a bank service counter, where customers arrive occasionally and may wait in lines for service; manufacturing systems, where parts ...
David Goldsman, Paul Goldsman
openaire   +1 more source