Search Swinburne Research Bank
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/221468
- Title
- An architecture-based approach to developing context-aware adaptive systems
- Author(s)
- Hussein, Mahmoud; Han, Jun; Colman, Alan; Yu, Jian
- Abstract
- Self-adaptive systems and context-aware systems have been proposed to provide the ability for a software system to adapt itself at runtime to cope with changes in its environment and user needs. However, research in self-adaptation and context-awareness has been carried out largely in separate communities, with limited reference to each other. Research in self-adaptation is more concerned with how to adapt the system, while research in context-awareness is more concerned with how to model, process, and manage the context information. In general, context-aware adaptive software systems need to consider both perspectives in a holistic manner. With the objective to gain a better understanding of the relationship between context-awareness and self-adaptation to advance the research and practice in this area, we in this paper introduce a layered architecture that integrates both perspectives. In addition, we demonstrate our approach through the development of a context-aware adaptive vehicle route planning software system.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies
- Source
- Proceedings of the 19th Annual IEEE International Conference and Workshops on Engineering of Computer-Based Systems (IEEE ECBS 2012), Novi Sad, Serbia, 11-13 April 2012, pp. 154-163
- Publication year
- 2012
- FOR Code(s)
- 080101 Adaptive Agents and Intelligent Robotics; 080302 Computer System Architecture; 080309 Software Engineering
- Keyword(s)
- Context-awareness; Context modelling; Self-adaptivity; Software architecture; System modelling
- Publisher
- IEEE
- ISBN
- 9781467309127, 1467309125
- Publisher URL
- http://dx.doi.org/10.1109/ECBS.2012.13
- Copyright
- Copyright © 2012 IEEE.
- Peer reviewed



