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Developing a Context-aware Architecture in DySCAS
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Systems.ORCID iD: 0000-0001-7048-0108
The University of Greenwich.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Systems.ORCID iD: 0000-0002-4300-885X
Bosch GmbH.
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2007 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Software systems in vehicles are of rapidly increasing commercial importance for the automotive industry. Current vehicular embedded systems exhibit a fixed software structure and the possibilities for software upgrades are limited. Due to increasing expectations of context-awareness, dependability, flexibility, cost efficiency and time-to-market; we argue that it is now necessary to enable advanced features that are based on dynamic configuration.To reach the goals of dynamically self-configuring automotive systems, we propose an architecture which is currently being developed in the EC funded DySCAS project. We describe the proposed architecture, with a focus on its support for adaptive behavior. To illustrate the type and extent of adaptability achievable, a set of generic use case classes are briefly described and the requirements they place on the architecture and in particular the adaptive aspects, are discussed.The architecture is based on a distributed hierarchical control and decision strategy, which through the policy-based middleware functions and underlying technologies allows separation-of-concerns, on-line reconfiguration, seamless connectivity, plug-and-play capability, and also increased dependability and resource optimization. Decision points are concerned with both application and resource aspects and are dispersed throughout a distributed platform, allowing the embedding of numerous policies to make context-aware decisions whilst avoiding excessive complexity. The approach is scalable and provides additional freedom for engineers to define the dynamic configuration characteristics.The developed architecture is so far on a functional level and has been validated against system requirements. Current work concentrates on defining the corresponding software architecture, considering automotive platforms and constraints.

Place, publisher, year, edition, pages
2007.
Keyword [en]
software architecture, autonomic computing, self-management, self-adaptive, middleware
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:kth:diva-81335OAI: oai:DiVA.org:kth-81335DiVA: diva2:497339
Conference
Workshop on Design and Architectures for Signal and Image Processing (DASIP 2007). Grenoble, France. November 27-29, 2007
Note
QC 20120516Available from: 2012-02-10 Created: 2012-02-10 Last updated: 2012-05-16Bibliographically approved

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Chen, DeJiuTörngren, Martin

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CiteExportLink to record
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  • apa
  • harvard1
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