Probability Models for Multiprogramming Computer Systems
- 1 July 1967
- journal article
- Published by Association for Computing Machinery (ACM) in Journal of the ACM
- Vol. 14 (3) , 423-438
- https://doi.org/10.1145/321406.321407
Abstract
A probabilistic model is developed for a multiprogramming computer configuration, i.e., one in which several program segments are simultaneously in main memory (core). The model relates speed and number of input-output devices, core size, and central processor speed to central processor and system productivity. Incorporated in the model are parameters describing the statistical variability of input-output and central processor activities. Thus the model permits comparisons between systems loaded with different mixtures of job types (“scientific” vs. “business” applications). Numerical comparisons of various systems are provided.Keywords
This publication has 5 references indexed in Scilit:
- Segmentation and the Design of Multiprogrammed Computer SystemsJournal of the ACM, 1965
- Analysis of Real Time MultiprogrammingJournal of the ACM, 1965
- Monte Carlo MethodsPublished by Springer Nature ,1964
- A Waiting Line with Interrupted Service, Including PrioritiesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1962
- Queues, Inventories, and MaintenancePhysics Today, 1958