Title :
Teaching M/G/1 theory with extension to priority queues
Author_Institution :
Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK
fDate :
1/1/2000 12:00:00 AM
Abstract :
The derivation of sojourn time distribution is easily understood in M/M/1 queues in terms of numbers of service completions, using the random observer property. The same approach does not generalise directly to the M/G/1 queue because of a subtle dependence between the random variables involved, and an entirely different approach is usually taught in most courses on queueing theory. The M/M/1 approach to the M/G/1 case is applied by accounting for the dependence explicitly. The method then extends simply to M/G/1 queues with priority classes. Although the results themselves are not new, it is believed that the approach used is illuminating, constructive to consistent teaching of the subject and facilitates a concise treatment of priority queues
Keywords :
computer science education; probability; queueing theory; teaching; M/G/1 theory; priority classes; priority queues; queueing theory; random observer property; random variables; service completions; sojourn time distribution; teaching;
Journal_Title :
Computers and Digital Techniques, IEE Proceedings -
DOI :
10.1049/ip-cdt:20000154