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FESAS: A Framework for Engineering Self-Adaptive Systems
Krupitzer, Christian
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URL:
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http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de...
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Additional URL:
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http://opus.bibliothek.uni-augsburg.de/opus4/front...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2013
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Book title:
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Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC'13) : Augsburg, Germany
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The title of a journal, publication series:
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Reports / Technische Berichte
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Volume:
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13-06
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Page range:
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16-19
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Conference title:
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OC-DDC'13
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Location of the conference venue:
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Augsburg, Germany
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Date of the conference:
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06.2013
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Publisher:
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Tomforde, Sven
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Place of publication:
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Augsburg
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Publishing house:
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Univ., Fak. für Angewandte Informatik
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Publication language:
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English
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Institution:
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Business School > Wirtschaftsinformatik II (Becker 2006-2021)
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Subject:
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004 Computer science, internet
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Keywords (English):
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Self-Adaptive Systems , Software Engineering , Model-Driven Engineering , Service-Oriented Architecture , Pervasive Computing , BASE Middleware
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Abstract:
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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.
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Additional information:
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Online-Ressource
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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