Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-t5pn6 Total loading time: 0 Render date: 2024-04-19T23:53:40.662Z Has data issue: false hasContentIssue false

Task resource models and (max, +) automata

Published online by Cambridge University Press:  05 May 2010

Get access

Summary

Abstract

We show that a typical class of timed concurrent systems can be modeled as automata with multiplicities in the (max, +) semiring. This representation can be seen as a timed extension of the logical modeling in terms of trace monoids. We briefly discuss the applications of this algebraic modeling to performance evaluation.

Introduction

Different variations of (stochastic) queuing networks with precedence-based relations between customers have been studied for quite a long time in the performance evaluation community, see [3, 5, 20]. In the combinatorics community on the other hand, concurrent systems are usually modeled in terms of traces – elements of free partially commutative monoids –, see [8, 11]. An equivalent formalism is that of heaps of pieces [19].

One of the purposes of this note is to bridge the gap between the two approaches. In the first part of the paper, we establish the relations between the models. An important feature is that execution times of these models can be represented as finite dimensional (max, +) linear dynamical systems. In an essentially equivalent way, they are recognized by automata with multiplicities in the (max, +) semiring. The existence of similar (max, +) models has already been noticed in the context of queuing theory [20, 7]. Their analogue for trace monoids seems to be new.

In the second part of the paper, we apply this algebraic modeling to performance evaluation problems. We present asymptotic results on the existence of mean execution time for random schedules, and for optimal and worst schedules. They are obtained by appealing to subadditive arguments borrowed from the theory of random (max, +) matrices [1].

Type
Chapter
Information
Idempotency , pp. 133 - 144
Publisher: Cambridge University Press
Print publication year: 1998

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.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×