By F. Paul Wyman
Communications of the ACM,
June 1975,
Vol. 18 No. 6, Pages 350-353
10.1145/360825.360873
Comments
Simulation models of large, complex “real-world” applications have occasionally earned the reputation of eating up hours of computer time. This problem may be attributed in part to difficulties such as slow stochastic convergence. However, an additional problem lies in the fact that a significant amount of bookkeeping time is required to keep future events in their proper sequence. This paper presents a method for significantly reducing the time spent scanning future events lists in discrete event simulations. Three models are presented, all of which improve in effectiveness as the events-list scan problem becomes more burdensome.
The full text of this article is premium content
No entries found
Log in to Read the Full Article
Need Access?
Please select one of the options below for access to premium content and features.
Create a Web Account
If you are already an ACM member, Communications subscriber, or Digital Library subscriber, please set up a web account to access premium content on this site.
Join the ACM
Become a member to take full advantage of ACM's outstanding computing information resources, networking opportunities, and other benefits.
Subscribe to Communications of the ACM Magazine
Get full access to 50+ years of CACM content and receive the print version of the magazine monthly.
Purchase the Article
Non-members can purchase this article or a copy of the magazine in which it appears.
