Name
Abstract | ||
|---|---|---|
This paper considers a fork-join system (or: parallel queue), which is a two-queue network in which any arrival generates jobs at both queues and the jobs synchronize before they leave the system. The focus is on methods to quantify the mean value of the `system's sojourn time' S: with S i denoting a job's sojourn time in queue i, S is defined as max{S 1, S 2}. Earlier work has revealed that this class of models is notoriously hard to analyze. In this paper, we focus on the homogeneous case, in which the jobs generated at both queues stem from the same distribution. We first evaluate various bounds developed in the literature, and observe that under fairly broad circumstances these can be rather inaccurate. We then present a number of approximations, that are extensively tested by simulation and turn out to perform remarkably well. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s00291-010-0235-y | OR Spectrum |
Keywords | Field | DocType |
broad circumstance,jobs synchronize,earlier work,two-queue fork-join system,two-queue network,mean value,homogeneous case,sojourn time,fork-join system,various bound,parallel queue,synchronization,simulation,queueing,parallel processing | Mathematical optimization,Synchronization,Mean value,Computer science,Homogeneous,Queue,Parallel processing,Queueing theory,Fork–join queue,Operations management | Journal |
Volume | Issue | ISSN |
34 | 3 | 0171-6468 |
Citations | PageRank | References |
7 | 0.52 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| benjamin p h kemper | 1 | 13 | 1.83 |
| Michel Mandjes | 2 | 534 | 73.65 |