Hostname: page-component-6766d58669-r8qmj Total loading time: 0 Render date: 2026-05-20T19:16:57.074Z Has data issue: false hasContentIssue false

SCHEDULING IN A SINGLE-SERVER QUEUE WITH STATE-DEPENDENT SERVICE RATES

Published online by Cambridge University Press:  21 May 2019

Urtzi Ayesta
Affiliation:
CNRS, IRIT, 2 rue C. Camichel, 31071 Toulouse, France LAAS-CNRS, Université de Toulouse, CNRS, INP, Toulouse, France IKERBASQUE - Basque Foundation for Science, 48011 Bilbao, Spain UPV/EHU, Univ. of the Basque Country, 20018, Donostia, Spain E-mail: urtzi.ayesta@irit.fr
Balakrishna Prabhu
Affiliation:
LAAS-CNRS, Université de Toulouse, CNRS, INP, Toulouse, France
Rhonda Righter
Affiliation:
University of California, Berkeley, CA 94720, United States

Abstract

We consider single-server scheduling to minimize holding costs where the capacity, or rate of service, depends on the number of jobs in the system, and job sizes become known upon arrival. In general, this is a hard problem, and counter-intuitive behavior can occur. For example, even with linear holding costs the optimal policy may be something other than SRPT or LRPT, it may idle, and it may depend on the arrival rate. We first establish an equivalence between our problem of deciding which jobs to serve when completed jobs immediately leave, and a problem in which we have the option to hold on to completed jobs and can choose when to release them, and in which we always serve jobs according to SRPT. We thus reduce the problem to determining the release times of completed jobs. For the clearing, or transient system, where all jobs are present at time 0, we give a complete characterization of the optimal policy and show that it is fully determined by the cost-to-capacity ratio. With arrivals, the problem is much more complicated, and we can obtain only partial results.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable