Real-Time Applications with Stochastic Task Execution Times [electronic resource] : Analysis and Optimisation / by Sorin Manolache, Petru Eles, Zebo Peng.

By: Manolache, Sorin [author.]Contributor(s): Eles, Petru [author.] | Peng, Zebo [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Publisher: Dordrecht : Springer Netherlands, 2007Description: XIV, 150 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781402055096Subject(s): Engineering | Computer science | Computational complexity | Electronics | Systems engineering | Engineering | Circuits and Systems | Electronics and Microelectronics, Instrumentation | Processor Architectures | Discrete Mathematics in Computer ScienceAdditional physical formats: Printed edition:: No titleDDC classification: 621.3815 LOC classification: TK7888.4Online resources: Click here to access online
Contents:
Related Work -- System Modelling -- Analysis of Monoprocessor Systems -- Analysis of Multiprocessor Systems -- Deadline Miss Ratio Minimisation -- Conclusions.
In: Springer eBooksSummary: Real-Time Applications with Stochastic Task Execution Times presents three approaches to the analysis of the deadline miss ratio of applications with stochastic task execution times. Each of the three approaches fits best to a different context. The first approach is an exact one and is efficiently applicable to monoprocessor systems. The second approach is an approximate one, which allows for designer-controlled trade-off between analysis accuracy and analysis speed. It is efficiently applicable to multiprocessor systems. The third approach is less accurate but sufficiently fast in order to be placed inside optimisation loops. Based on the last approach, we propose a heuristic for task mapping and priority assignment for deadline miss ratio minimisation.
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Related Work -- System Modelling -- Analysis of Monoprocessor Systems -- Analysis of Multiprocessor Systems -- Deadline Miss Ratio Minimisation -- Conclusions.

Real-Time Applications with Stochastic Task Execution Times presents three approaches to the analysis of the deadline miss ratio of applications with stochastic task execution times. Each of the three approaches fits best to a different context. The first approach is an exact one and is efficiently applicable to monoprocessor systems. The second approach is an approximate one, which allows for designer-controlled trade-off between analysis accuracy and analysis speed. It is efficiently applicable to multiprocessor systems. The third approach is less accurate but sufficiently fast in order to be placed inside optimisation loops. Based on the last approach, we propose a heuristic for task mapping and priority assignment for deadline miss ratio minimisation.

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