Abstract
Recent work in queueing theory has provided a means by which queue lengths can be estimated based solely on information about service completions. The work yields algorithms that permit the estimation of invisible or disperse queues which would be difficult to measure directly. These algorithms may be applied to resources in communications networks at which difficult-to-measure queues exist. The following paper presents an algorithm for queue estimation and measures its accuracy on transmission data taken from an ethernet environment. Results show the algorithm to be fairly accurate despite its simplifying assumption that the arrival process of the data packets is Poisson; for about 2/3 of the queues analyzed, the ratio of the root mean square difference between the real queue and the estimated queue to the average real queue is less than 1/2.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
