Abstract :
To the class of queuing networks analyzable by the method of Baskett, Chandy, Muntz, and Palacios, we add service centers whose scheduling is random. That is, upon completion of a service interval, the server chooses next to serve one of the waiting customers selected at random. As in the case of first-come first-served (FCFS) scheduling, all tasks must have the same exponentially distributed service time at such a center. We show that for purposes of this analysis, the results are identical to FCFS queuing. Example applications for random selection scheduling in computer system modeling are provided.
Keywords :
Network of queues; queuing theory; random scheduling; resource polling; Application software; Computer science; Exponential distribution; Modeling; Network servers; Probability; Processor scheduling; Queueing analysis; Routing; Statistical distributions; Network of queues; queuing theory; random scheduling; resource polling;