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Synopsis
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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About the Author
Zebo Peng and Petru Eles have both (co)authored several successful research monographs for Springer. They are also getting increasingly more established within the EDA community, Prof. Zebo Peng will be Technical Chair at DATE 2007 and Prof. Petru Eles is General Chair for the 2006 Embedded Systems Week conference.
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Real-Time Applications with Stochastic Task Execution Times: Analysis and Optimisation
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Real-Time Applications with Stochastic Task Execution Times
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents three approaches to the analysis of the deadline miss ratio of applications with stochastic task execution times. Each best fits a different context: an exact one efficiently applicable to monoprocessor systems; an approximate one, which allows for designer-controlled trade-off between analysis accuracy and analysis speed; and one less accurate but sufficiently fast in order to be placed inside optimization loops. 168 pp. Englisch. Seller Inventory # 9789400787070
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Real-Time Applications with Stochastic Task Execution Times
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Real-Time Applications with Stochastic Task Execution Times : Analysis and Optimisation
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9789400787070
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Real-Time Applications with Stochastic Task Execution Times
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Real-Time Applications with Stochastic Task Execution Times
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Real-Time Applications with Stochastic Task Execution Times
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Real-Time Applications with Stochastic Task Execution Times
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ISBN 10: 9400787073
ISBN 13: 9789400787070
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch. Seller Inventory # 9789400787070
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