By Paul O'Neill, Avis O'Neill
Communications of the ACM,
January 1980,
Vol. 23 No. 1, Pages 10-13
10.1145/358808.358810
Comments
The purpose of the study was to characterize the input traffic on the interactive terminal facility (ITF) at Jackson State University by mathematical distributions. Five traffic measures were extracted from a week's job accounting records: arrival time (time of day of log on), interarrival time (time between successive arrivals), active central processing unit (CPU) time (user's time slice), inactive CPU time (swapping time), and connect time (duration of a user session). To facilitate analysis, four user groups were formed. An analysis of variance established that the group category largely determined the volume of arrivals. Since a normal distribution could not be fitted to the data, it was concluded that the pattern of daily arrivals was best treated as an empirical distribution. Using the method of moments to estimate parameters, it was found that interarrival times could best be characterized by a gamma distribution, while connect, inactive CPU, and active CPU times approximated exponential distributions.
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.
