Optimal Scheduling Policies for a Class of Queues with Customer Deadlines to the Beginning of Service

113Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

Abstract

Many problems can be modeled as single-server queues with impatient customers. An example is that of the transmission of voice packets over a packet-switched network. If the voice packets do not reach their destination within a certain time interval of their transmission, they are useless to the receiver and considered lost. It is therefore desirable to schedule the customers such that the fraction of customers served within their respective deadlines is maximized. For this measure of performance, it is shown that the shortest time to extinction (STE) policy is optimal for a class of continuous and discrete time nonpreemptive M/G/1 queues that do not allow unforced idle times. When unforced idle times are allowed, the best policies belong to the class of shortest time to extinction with inserted idle time (STEI) policies. An STEI policy requires that the customer closest to his or her deadline be scheduled whenever it schedules a customer. It also has the choice of inserting idle times while the queue is nonempty. It is also shown that the STE policy is optimal for the discrete time G/D/1 queue where all customers receive one unit of service. The paper concludes with a comparison of the expected customer loss using an STE policy with that of the first-come, first-served (FCFS) scheduling policy for one specific queue. © 1988, ACM. All rights reserved.

Cite

CITATION STYLE

APA

Panwar, S. S., Towsley, D., & Wolf, J. K. (1988). Optimal Scheduling Policies for a Class of Queues with Customer Deadlines to the Beginning of Service. Journal of the ACM (JACM), 35(4), 832–844. https://doi.org/10.1145/48014.48019

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free