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Context-aware adaptation in DySCAS

Context-aware adaptation in DySCAS

Anthony, Richard, Chen, DeJiu, Pelc, Mariusz, Persson, Magnus and Tӧrngren, Martin (2009) Context-aware adaptation in DySCAS. Electronic Communications of the EASST, 19. ISSN 1863-2122

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DySCAS is a dynamically self-configuring middleware for automotive control systems. The addition of autonomic, context-aware dynamic configuration to automotive control systems brings a potential for a wide range of benefits in terms of robustness, flexibility, upgrading etc. However, the automotive systems represent a particularly challenging domain for the deployment of autonomics concepts, having a combination of real-time performance constraints, severe resource limitations, safety-critical aspects and cost pressures. For these reasons current systems are statically configured. This paper describes the dynamic run-time configuration aspects of DySCAS and focuses on the extent to which context-aware adaptation has been achieved in DySCAS, and the ways in which the various design and implementation challenges are met.

Item Type: Article
Additional Information: [1] First published in: 2009. [2] Published as: Electronic Communications of the EASST (2009), Vol. 19, Richard Anthony, DeJiu Chen, Mariusz Pelc, Magnus Persson, Martin Tӧrngren, Context-Aware Adaptation Mechanism for Pervasive and Ubiquitous Services. [3] This paper forms part of the Proceedings of the Second International DisCoTec Workshop on Context-aware Adaptation Mechanisms for Pervasive and Ubiquitous Services (CAMPUS 2009).
Uncontrolled Keywords: real-time embedded systems, dynamic configuration, context-aware behaviour, automotive control, middleware, policy-based configuration
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
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Last Modified: 14 Oct 2016 13:54

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