Artikel in Tagungsband INPROC-2013-10

Bibliograph.
Daten
Wettinger, Johannes; Behrendt, Michael; Binz, Tobias; Breitenbücher, Uwe; Breiter, Gerd; Leymann, Frank; Moser, Simon; Schwertle, Isabell; Spatzier, Thomas: Integrating Configuration Management with Model-Driven Cloud Management Based on TOSCA.
In: Proceedings of the 3rd International Conference on Cloud Computing and Services Science (CLOSER 2013); Aachen, Germany, May 8-10, 2013.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 437-446, englisch.
SciTePress, Mai 2013.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.D.2.11 (Software Engineering Software Architectures)
K.6 (Management of Computing and Information Systems)
KeywordsModel-Driven Management; Configuration Management; Service Management; Cloud Services; DevOps
Kurzfassung

The paradigm of Cloud computing introduces new approaches to manage IT services going beyond concepts originating in traditional IT service management. The main goal is to automate the whole management of services to reduce costs and to make management tasks less error-prone. Two different service management paradigms are used in practice: configuration management and model-driven Cloud management. The latter one aims to be a holistic management approach for services in the Cloud. However, both management paradigms are originating in different backgrounds, thus model-driven Cloud management does not cover all aspects of configuration management that are key for Cloud services. This paper presents approaches for integrating configuration management with model-driven Cloud management and how they can be realized based on the OASIS Topology and Orchestration Specification for Cloud Applications and Chef, a popular configuration management tool. These approaches enable the creation of holistic and highly portable service models.

KontaktE-Mail: johannes.wettinger@iaas.uni-stuttgart.de
Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Projekt(e)4CaaSt
CloudCycle
Eingabedatum18. Februar 2013
   Publ. Institut   Publ. Informatik