FESAS: A Framework for Engineering Self-Adaptive Systems

Krupitzer, Christian

URL: http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de...
Additional URL: http://opus.bibliothek.uni-augsburg.de/opus4/front...
Document Type: Conference or workshop publication
Year of publication: 2013
Book title: Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC'13) : Augsburg, Germany
The title of a journal, publication series: Reports / Technische Berichte
Volume: 13-06
Page range: 16-19
Conference title: OC-DDC'13
Location of the conference venue: Augsburg, Germany
Date of the conference: 06.2013
Publisher: Tomforde, Sven
Place of publication: Augsburg
Publishing house: Univ., Fak. für Angewandte Informatik
Publication language: English
Institution: Business School > Wirtschaftsinformatik II (Becker 2006-2021)
Subject: 004 Computer science, internet
Keywords (English): Self-Adaptive Systems , Software Engineering , Model-Driven Engineering , Service-Oriented Architecture , Pervasive Computing , BASE Middleware
Abstract: Abstract—The complexity and size of information systems are growing, resulting in an increasing effort for maintenance. Autonomic Computing, Organic Computing or self-adaptive systems (SAS) that autonomously adapt to environment changes or changes in the system itself (e.g. disfunction of components) can be a solution. So far, the development of a SAS is tailored to its specific use case requirements. The creation of frameworks with reusable process elements and system components is often neglected. However, with such a framework developing SAS would become faster and less error prone. This work addresses this gap by providing a framework for engineering SAS. The framework is based on model-driven engineering and a service-oriented architecture. At the development stage, a design model is transformed into a system model. During runtime, this system model is mapped to a concrete system build of various heterogeneous devices with functionalities. The functionalities of the devices is represented as services. A reference architecture and a component library support this mapping and enable the deployment of an adaptation logic tailored to the system’s use case. This reduces engineering time through a generic process with reusable elements.
Additional information: Online-Ressource

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ORCID: Krupitzer, Christian ORCID: 0000-0002-7275-0738

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