Dornemann Tim (9 results)

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Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.

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Taschenbuch. Condition: 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.

Condition: 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.

Taschenbuch. Condition: 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.