A framework for the response time analysis of fixed-priority tasks with stochas...

• Author(s): Cucu, Liliana ; Tovar, Eduardo
• Date: 2006
• Persistent ID: http://hdl.handle.net/10400.22/4013
• Origin: Repositório Científico do Instituto Politécnico do Porto
• Subject(s): Real-time systems; Schedulability analysis; Stochastic analysis; Fixed-priority scheduling
• Document Type: Article
• Language: English

Description

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.