Buch BOOK-2014-01

Bibliograph.
Daten
Fehling, Christoph; Leymann, Frank; Retter, Ralph; Schupeck, Walter; Arbitter, Peter: Cloud Computing Patterns.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
394 Seiten, deutsch.
Springer Wien, Januar 2014.
ISBN: ISBN 978-3-7091-1567-1; ISBN 978-3-7091-1568-8 (eBook); DOI 10.1007/978-3-7091-1568-8.
Buch.
CR-Klassif.C.0 (Computer Systems Organization, General)
C.2.4 (Distributed Systems)
D.2.2 (Software Engineering Design Tools and Techniques)
D.2.3 (Software Engineering Coding Tools and Techniques)
D.2.7 (Software Engineering Distribution, Maintenance, and Enhancement)
Kurzfassung

This book provides CIOs, software architects, project managers, developers, and cloud strategy initiatives with a set of architectural patterns that offer nuggets of advice on how to achieve common cloud computing-related goals. The cloud computing patterns capture knowledge and experience in an abstract format that is independent of concrete vendor products. Readers are provided with a toolbox to structure cloud computing strategies and design cloud application architectures. By using this book cloud-native applications can be implemented and best suited cloud vendors and tooling for individual usage scenarios can be selected. The cloud computing patterns offer a unique blend of academic knowledge and practical experience due to the mix of authors. Academic knowledge is brought in by Christoph Fehling and Professor Dr. Frank Leymann who work on cloud research at the University of Stuttgart. Practical experience in building cloud applications, selecting cloud vendors, and designing enterprise architecture as a cloud customer is brought in by Dr. Ralph Retter who works as an IT architect at T Systems, Walter Schupeck, who works as a Technology Manager in the field of Enterprise Architecture at Daimler AG, and Peter Arbitter, the former head of T Systems’ cloud architecture and IT portfolio team and now working for Microsoft.

Volltext und
andere Links
http://www.cloudcomputingpatterns.org
www.springer.com/978-3-7091-1567-1
http://extras.springer.com/2014/978-3-7091-1567-1
Kontaktinfo@cloudcomputingpatterns.org
Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Eingabedatum11. März 2014
   Publ. Informatik