Skip navigation

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

[img]
Preview
PDF (Open Access Policy. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.)
(5533_ANTHONY_2009).pdf - Other
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (949kB)

Abstract

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
Related URLs:
Last Modified: 14 Oct 2016 13:54
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5533

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics