Abstract | ||
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The hardware infrastructure that provides the support of ubiquitous embedded computing may be shared by different applications. Many of those applications have real-time requirements, where events from the environment require the reaction of the computing system. The meeting of deadlines is hindered by the fast system dynamics. At the same time, the embedded system must deal with overload situations. In this paper we assume that an embedded application receives aperiodic requests with soft deadlines. Other unknown applications are executed simultaneously. The goal of this paper is to discuss algorithms to estimate the probability of a deadline to be met. The prediction of a deadline miss at the request arrival allows actions for damage control. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-3-540-75664-4_27 | SEUS |
Keywords | Field | DocType |
fast system dynamic,soft real-time task response,time prediction,aperiodic request,computing system,damage control,different application,hardware infrastructure,dynamic embedded system,ubiquitous embedded computing,soft deadline,embedded application,embedded system,embedded computing,system dynamics,real time | Computer science,Embedded applications,Response time,Real-time computing,System dynamics,Aperiodic graph,Computing systems,Embedded system,Distributed computing | Conference |
Volume | ISSN | ISBN |
4761 | 0302-9743 | 3-540-75663-9 |
Citations | PageRank | References |
4 | 0.50 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cassia Yuri Tatibana | 1 | 5 | 1.21 |
Carlos Montez | 2 | 156 | 25.48 |
Rômulo Silva De Oliveira | 3 | 41 | 16.20 |