Computing Reviews

Parallel discrete event simulation:a modeling methodological perspective
Page E., Nance R. ACM SIGSIM Simulation Digest24(1):88-93,1994.Type:Article
Date Reviewed: 09/01/95

The future suitability of simulation as a viable tool to analyze large, complex, and elaborate systems relies on the concurrent execution of the simulation program in parallel or distributed multiprocessing environments. In the last 15 years, research in parallel (and distributed) discrete event simulation (PDES) [1–3] has focused on attainable simulation execution speedups. The main reason PDES is not embraced by the general simulation community is the lack of research contributions toward simplifying the development of simulation models for concurrent execution. The authors, after citing a profusion of papers “bemoaning the acceptance problem” of PDES, attempt to respond to the call for a discussion of the future of PDES.

The authors point out that the PDES research community has not placed any importance on the role of the conceptual framework within the model development process. The “logical process” modeling methodology that has become the de facto standard for the PDES paradigm is dictated by the need to partition the simulation program for minimal processor synchronization. The authors prescribe a model-centric view as opposed to the current program-centric view of the simulation process in PDES. As a starting point, they provide four recommendations to reduce the disparity between PDES and prevailing discrete event simulation methodology.

Overall, the paper is a worthy endeavor and was a pleasure to read. The authors provide a brief overview of the simulation process by presenting some fundamental questions and their answers. Throughout the paper, work by prominent researchers is cited.

Researchers and practitioners in PDES must read this paper.


1)

Fujimoto, R. and Nicol, D. State of the art in parallel simulation. In Proceedings of the 1992 Winter Simulation Conference (Arlington, VA, Dec. 13–16, 1992), J. Swain, D. Goldsman, R. C. Crain, and J. R. Wilson, Eds., ACM, New York, 1992, 246–254.


2)

Fujimoto, R. Parallel and distributed discrete event simulation: algorithms and applications. In Proceedings of the 1993 Winter Simulation Conference (Los Angeles, CA, Dec. 12–15, 1993), G. W. Evans, M. Mollaghasemi, E. C. Russell, and W. E. Biles, Eds. ACM, New York, 1993, 106–114.


3)

Ferscha, A. and Tripathi, S. K. Parallel and distributed simulation of discrete event systems. Technical Report CS-TR-3336, University of Maryland, College Park, MD, August 1994.

Reviewer:  Fabian Gomes Review #: CR118675 (9509-0730)

Reproduction in whole or in part without permission is prohibited.   Copyright 2024 ComputingReviews.com™
Terms of Use
| Privacy Policy