Librería: California Books, Miami, FL, Estados Unidos de America
EUR 30,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 32,88
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, 2015
ISBN 10: 3838132343 ISBN 13: 9783838132341
Librería: preigu, Osnabrück, Alemania
EUR 67,10
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Supporting Quality of Service in Scientific Workflows | A Novel Approach to Workflow Quality of Service that utilizes Infrastructure as a Service (IaaS)-based Cloud Platforms | Tim Dörnemann | Taschenbuch | Paperback | 236 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838132341 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Jul 2015, 2015
ISBN 10: 3838132343 ISBN 13: 9783838132341
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 79,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -In this book, the use of the industry standard BPEL, a Turing-complete workflow language for modeling business processes, is proposed for the modeling and the execution of scientific workflows. BPEL is well suited for the modeling of scientific workflows, but existing implementations of the standard lack important properties - such as availability, reliability, and scalability - that are necessary for the execution of scientific workflows. This work presents components that extend an existing implementation of the BPEL standard and eliminate the identified weaknesses. Those components include a provisioner which enables the system to automatically provision virtual machines from Cloud environments. It is steered by a multi-objective genetic scheduling algorithm that takes data flow dependencies and cost into account. A policy-based fault-tolerance component improves reliability and availability of the system by using a variety of mechanisms, including Cloud-based substituion of faulty servers. Lastly, a comprehensive suite of easy-to-use graphical development and modeling tools is presented.Books on Demand GmbH, Überseering 33, 22297 Hamburg 236 pp. Englisch.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 33,37
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 40,58
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Jul 2015, 2015
ISBN 10: 3838132343 ISBN 13: 9783838132341
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 79,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, the use of the industry standard BPEL, a Turing-complete workflow language for modeling business processes, is proposed for the modeling and the execution of scientific workflows. BPEL is well suited for the modeling of scientific workflows, but existing implementations of the standard lack important properties - such as availability, reliability, and scalability - that are necessary for the execution of scientific workflows. This work presents components that extend an existing implementation of the BPEL standard and eliminate the identified weaknesses. Those components include a provisioner which enables the system to automatically provision virtual machines from Cloud environments. It is steered by a multi-objective genetic scheduling algorithm that takes data flow dependencies and cost into account. A policy-based fault-tolerance component improves reliability and availability of the system by using a variety of mechanisms, including Cloud-based substituion of faulty servers. Lastly, a comprehensive suite of easy-to-use graphical development and modeling tools is presented. 236 pp. Englisch.
Idioma: Inglés
Publicado por Südwestdeutscher Verlag für Hochschulschriften, 2013
ISBN 10: 3838132343 ISBN 13: 9783838132341
Librería: moluna, Greven, Alemania
EUR 64,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Doernemann TimTim Dornemann holds a diploma (M.Sc.) degree in Computer Science and worked as a full-time research and teaching assistant in the Department of Mathematics and Computer Science at the University of Marburg (Germany) from.
Idioma: Inglés
Publicado por Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG, 2013
ISBN 10: 3838132343 ISBN 13: 9783838132341
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 79,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, the use of the industry standard BPEL, a Turing-complete workflow language for modeling business processes, is proposed for the modeling and the execution of scientific workflows. BPEL is well suited for the modeling of scientific workflows, but existing implementations of the standard lack important properties - such as availability, reliability, and scalability - that are necessary for the execution of scientific workflows. This work presents components that extend an existing implementation of the BPEL standard and eliminate the identified weaknesses. Those components include a provisioner which enables the system to automatically provision virtual machines from Cloud environments. It is steered by a multi-objective genetic scheduling algorithm that takes data flow dependencies and cost into account. A policy-based fault-tolerance component improves reliability and availability of the system by using a variety of mechanisms, including Cloud-based substituion of faulty servers. Lastly, a comprehensive suite of easy-to-use graphical development and modeling tools is presented.