Artikel in Zeitschrift ART-2019-03

Saatkamp, Karoline; Breitenbücher, Uwe; Kopp, Oliver; Leymann, Frank: An approach to automatically detect problems in restructured deployment models based on formalizing architecture and design patterns.
In: SICS Software-Intensive Cyber-Physical Systems.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-13, englisch.
Springer Berlin Heidelberg, 6. Februar 2019.
DOI: 10.1007/s00450-019-00397-7.
Artikel in Zeitschrift.
CR-Klassif.C.2.4 (Distributed Systems)
D.2.2 (Software Engineering Design Tools and Techniques)
D.2.12 (Software Engineering Interoperability)
K.6 (Management of Computing and Information Systems)
KeywordsTopology-based deployment model; Patterns; Problem detection; TOSCA; Logic programming, Prolog

For the automated deployment of applications, technologies exist which can process topology-based deployment models that describes the application's structure with its components and their relations. The topology-based deployment model of an application can be adapted for the deployment in different environments. However, the structural changes can lead to problems, which had not existed before and prevent a functional deployment. This includes security issues, communication restrictions, or incompatibilities. For example, a formerly over the internal network established insecure connection leads to security problems when using the public network after the adaptation. In order to solve problems in adapted deployment models, first the problems have to be detected. Unfortunately, detecting such problems is a highly non-trivial challenge that requires deep expertise about the involved technologies and the environment. In this paper, we present (i) an approach for detecting problems in deployment models using architecture and design patterns and (ii) the automation of the detection process by formalizing the problem a pattern solves in a certain context. We validate the practical feasibility of our approach by a prototypical implementation for the automated problem detection in TOSCA topologies.

Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Eingabedatum18. Februar 2019
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