Abstract

In a queue with several different arrival streams, in general, the expected delay for customers from one stream is not equal to the expected delay for customers from the other streams. Two approximations are presented here for the expected delay for customers from a particular arrival stream in an arrival process that is the superposition of independent renewal processes. Both approximations yield errors less than 10 percent, on average, when compared to simulation estimates. One approximation, extended from Holtzman (Holtzman, J. M. 1982. Mean delays of individual streams into a queue: the ΣGIi/M/1 queue. Applied Probability-Computer Science: The Interface, I, Proc. Conf. in Boca Raton, 417–430.), yields better results for very sparse arrival streams and the other, empirically derived, is easier to calculate. These approximations are useful in comparing the expected delays for customers from different arrival processes to a single queue and for customers with different routes through a network of queues.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.