A General Simulation Model for Information Systems : A Report on a Modelling Concept.
Expert InsightsPublished 1969
A conference paper describing a flexible, context-free information network simulation model that has been written in SIMSCRIPT 1.5 for use by designers of large management information systems. The new model avoids the need to develop equations and to make assumptions about hard-to-estimate quantitative flows; instead, it is based on the individual message (or job or other temporary entity). System relationships are described in terms of how the units are tied together by message input and output. Central switching networks, single-string networks, and virtually any unconstrained network can be modeled quickly and easily by use of the program generator forms provided. The model collects standard queueing statistics and measures system response also in terms of the total flow time of sequences of messages. 17 pp.
Document Details
- Copyright: RAND Corporation
- Availability: Web Only
- Year: 1969
- Pages: 17
- Document Number: P-4140
Citation
RAND Style Manual
Chicago Manual of Style
This publication is part of the RAND paper series. The paper series was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.