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Traffic Shaping in Real-Time Distributed Systems: a Low-Complexity Approach

Identifieur interne : 00B313 ( Main/Merge ); précédent : 00B312; suivant : 00B314

Traffic Shaping in Real-Time Distributed Systems: a Low-Complexity Approach

Auteurs : Bruno Gaujal [France] ; Nicolas Navet [France]

Source :

RBID : Hal:inria-00098965

English descriptors

Abstract

In real-time systems, one generally identifies two types of timing requirements, hard and soft constraints. In this study, it is assumed that the Hard Real-Time traffic (HRT) is periodic with deadlines that must be guaranteed, while the Soft Real-Time traffic (SRT) is aperiodic with timing constraints that could occasionally be missed without major consequences. In this paper, the problem of scheduling these 2 types of traffic with different performance objectives will be addressed~: (1) ensure that the timing requirements of HRT traffic are met, (2) minimize as much as possible the response time of SRT traffic while satisfying (1). For this purpose, we propose an easily implementable and low-complexity traffic shaping policy which preserves {\it feasibility} and improves response times for SRT traffic. The underlying idea is that it is possible to diminish the response time of SRT traffic if the busy periods induced by the HRT traffic are "harmoniously" distributed over time, creating time intervals during which the resource (i.e. the processor or the medium) can be used by SRT traffic with minimum delay. A computer-implementable algorithm that has to be executed independently on each node of the bus is also provided, as well as several extensions of the original model.

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Hal:inria-00098965

Le document en format XML

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<address>
<addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref>
</desc>
<listRelation>
<relation active="#struct-300009" type="direct"></relation>
</listRelation>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Computer Communications</title>
<idno type="ISSN">0140-3664</idno>
<imprint>
<date type="datePub">1999</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="mix" xml:lang="en">
<term>algorithme d'ordonnancement</term>
<term>lissage de flux</term>
<term>local area networks</term>
<term>real-time systems</term>
<term>réseaux locaux</term>
<term>scheduling algorithm</term>
<term>systèmes temps réel</term>
<term>traffic shaping</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">In real-time systems, one generally identifies two types of timing requirements, hard and soft constraints. In this study, it is assumed that the Hard Real-Time traffic (HRT) is periodic with deadlines that must be guaranteed, while the Soft Real-Time traffic (SRT) is aperiodic with timing constraints that could occasionally be missed without major consequences. In this paper, the problem of scheduling these 2 types of traffic with different performance objectives will be addressed~: (1) ensure that the timing requirements of HRT traffic are met, (2) minimize as much as possible the response time of SRT traffic while satisfying (1). For this purpose, we propose an easily implementable and low-complexity traffic shaping policy which preserves {\it feasibility} and improves response times for SRT traffic. The underlying idea is that it is possible to diminish the response time of SRT traffic if the busy periods induced by the HRT traffic are "harmoniously" distributed over time, creating time intervals during which the resource (i.e. the processor or the medium) can be used by SRT traffic with minimum delay. A computer-implementable algorithm that has to be executed independently on each node of the bus is also provided, as well as several extensions of the original model.</div>
</front>
</TEI>
</record>

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