Article in Proceedings INPROC-2012-22

BibliographyFehling, Christoph; Ewald, Thilo; Leymann, Frank; Pauly, Michael; Rütschlin, Jochen; Schumm, David: Capturing Cloud Computing Knowledge and Experience in Patterns.
In: Proceedings of the 2012 IEEE International Conference on Cloud Computing (CLOUD 2012).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-8, german.
IEEE, June 2012.
DOI: 10.1109/CLOUD.2012.124.
Article in Proceedings (Conference Paper).
CR-SchemaC.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)

The industry-driven evolution of cloud computing tends to obfuscate the common underlying architectural concepts of cloud offerings and their implications on hosted applications. Patterns are one way to document such architectural principles and to make good solutions to reoccurring (architectural) cloud challenges reusable. To capture cloud computing best practice from existing cloud applications and provider-specific documentation, we propose to use an elaborated pattern format enabling abstraction of concepts and reusability of knowledge in various use cases. We present a detailed step-by-step pattern identification process supported by a pattern authoring toolkit. We continuously apply this process to identify a large set of cloud patterns. In this paper, we introduce two new cloud patterns we identified in industrial scenarios recently. The approach aims at cloud architects, developers, and researchers alike to also apply this pattern identification process to create traceable and well-structured pieces of knowledge in their individual field of expertise. As entry point, we recap challenges introduced by cloud computing in various domains.

Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Entry dateJune 13, 2012
   Publ. Institute   Publ. Computer Science