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. © IFIP International Federation for Information Processing 2007.
CITATION STYLE
Tatibana, C. Y., Montez, C., & De Oliveira, R. S. (2007). Soft real-time task response time prediction in dynamic embedded systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4761 LNCS, pp. 273–282). Springer Verlag. https://doi.org/10.1007/978-3-540-75664-4_27
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