A Probabilistic Framework for Schedulability Analysis

Alan Burns; Guillem Bernat; Ian Broster

A Probabilistic Framework for Schedulability Analysis

Alan Burns, Guillem Bernat, Ian Broster

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

The limitations of the deterministic formulation of scheduling are outlined and a probabilistic approach is motivated. A number of models are reviewed with one being chosen as a basic framework. Response-time analysis is extended to incorporate a probabilistic characterisation of task arrivals and execution times.

Original language	Undefined/Unknown
Pages	1-15
Publication status	Published - 2003

Access to Document

http://springerlink.metapress.com/openurl.asp?genre=articleissn=0302-9743volume=2855spage=1

Cite this

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title = "A Probabilistic Framework for Schedulability Analysis",

abstract = "The limitations of the deterministic formulation of scheduling are outlined and a probabilistic approach is motivated. A number of models are reviewed with one being chosen as a basic framework. Response-time analysis is extended to incorporate a probabilistic characterisation of task arrivals and execution times.",

author = "Alan Burns and Guillem Bernat and Ian Broster",

year = "2003",

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AU - Bernat, Guillem

AU - Broster, Ian

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M3 - Paper

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EP - 15

ER -