Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda
2008, ISBN: 3866447418
[EAN: 9783866447417], Neubuch, [SC: 0.0], [PU: Karlsruher Institut Für Technologie], Druck auf Anfrage Neuware - Printed after ordering - The performance of software components depends on… Más…
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Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda
2008, ISBN: 3866447418
[EAN: 9783866447417], Neubuch, [SC: 0.0], [PU: Karlsruher Institut Für Technologie], Druck auf Anfrage Neuware - Printed after ordering - The performance of software components depends on… Más…
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Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda
ISBN: 9783866447417
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Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda
ISBN: 9783866447417
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Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - libro nuevo
2014, ISBN: 3866447418
Kartoniert / Broschiert, mit Schutzumschlag 11, [PU:Karlsruher Institut für Technologie; KIT Scientific Publishing]
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Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda
2008, ISBN: 3866447418
[EAN: 9783866447417], Neubuch, [SC: 0.0], [PU: Karlsruher Institut Für Technologie], Druck auf Anfrage Neuware - Printed after ordering - The performance of software components depends on… Más…
Michael Kuperberg:
Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda2008, ISBN: 3866447418
[EAN: 9783866447417], Neubuch, [SC: 0.0], [PU: Karlsruher Institut Für Technologie], Druck auf Anfrage Neuware - Printed after ordering - The performance of software components depends on… Más…
Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda
ISBN: 9783866447417
*Quantifying and Predicting the Influence of Execution Platform on Software Component Performance* / Taschenbuch für 50 € / Aus dem Bereich: Bücher, English,, International, Gebundene, Au… Más…
Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - Pasta blanda
ISBN: 9783866447417
*Quantifying and Predicting the Influence of Execution Platform on Software Component Performance* / Taschenbuch für 50 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien >… Más…
Quantifying and Predicting the Influence of Execution Platform on Software Component Performance - libro nuevo
2014, ISBN: 3866447418
Kartoniert / Broschiert, mit Schutzumschlag 11, [PU:Karlsruher Institut für Technologie; KIT Scientific Publishing]
Datos bibliográficos del mejor libro coincidente
Detalles del libro - Quantifying and Predicting the Influence of Execution Platform on Software Component Performance
EAN (ISBN-13): 9783866447417
ISBN (ISBN-10): 3866447418
Tapa dura
Tapa blanda
Año de publicación: 2011
Editorial: Karlsruher Institut für Technologie
Libro en la base de datos desde 2008-09-23T18:36:42-05:00 (Mexico City)
Página de detalles modificada por última vez el 2024-04-18T07:53:47-06:00 (Mexico City)
ISBN/EAN: 9783866447417
ISBN - escritura alterna:
3-86644-741-8, 978-3-86644-741-7
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: michael kuper, küper
Título del libro: series design, software, karlsruhe, quantifying, execution
Datos del la editorial
Autor: Michael Kuperberg
Título: The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner; Quantifying and Predicting the Influence of Execution Platform on Software Component Performance
Editorial: KIT Scientific Publishing
439 Páginas
Año de publicación: 2011-10-28
Impreso en
Peso: 0,750 kg
Idioma: Inglés
50,00 € (DE)
51,40 € (AT)
Available
graph. Darst.
BC; PB; Hardcover, Softcover / Informatik, EDV/Informatik; Informatik; Verstehen; Execution Platform Profiling; Components; Performance Prediciton; Software Performance; Java Bytecode
The performance of software components depends on several factors, including the execution platform on which the software components run. To simplify cross-platform performance prediction in relocation and sizing scenarios, a novel approach is introduced in this thesis which separates the application performance profile from the platform performance profile. The approach is evaluated using transparent instrumentation of Java applications and with automated benchmarks for Java Virtual Machines.< para archivar...