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Real-time scheduling usually considers worst-case values for the parameters of task (or message stream) sets, in order to provide safe schedulability tests for hard real-time systems. However, worst-case conditions introduce a level of pessimism that is often inadequate for a certain class of (soft) real-time systems. In this paper we provide an approach for computing the stochastic response time of tasks where tasks have inter-arrival times described by discrete probabilistic distribution functions, instead of minimum inter-arrival (MIT) values.

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A framework for the response time analysis of fixed-priority tasks with stochastic inter-arrival times

Cucu, Liliana; Tovar, Eduardo
ACM SIGBED Review , Volume 3 (1)
Association for Computing MachineryJan 1, 2006

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