PerCAS: an approach to enabling dynamic and personalized adaptation for context-aware services

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Title: PerCAS: an approach to enabling dynamic and personalized adaptation for context-aware services
Author(s): Yu, Jian; Han, Jun; Sheng, Quan Z.; Gunarso, Steven O.
Abstract: Context-aware services often need to adapt their behaviors according to physical situations and user preferences. However, most of the existing approaches to developing context-aware services can only do adaptation based on globally defined adaptation logic without considering the personalized context-aware adaptation needs of a specific user. In this paper, we propose a novel model-driven approach called PerCAS to developing and executing personalized context-aware services that are able to adapt to a specific user's adaptation needs at runtime. To enable dynamic and personalized context-aware adaptation, user-specific adaptation logic is encoded as rules, which are then weaved into a base process with an aspect-oriented mechanism. At runtime, the active user-specific rule set will be switched depending on who is using/invoking the service. A model-driven platform has been implemented to support the development and maintenance of personalized context-aware services from specification, design, to deployment and execution. Initial in-lab performance experiments have been conducted to demonstrate the efficiency of our approach.
Publication type: Conference paper
Research centre: Swinburne University of Technology. Faculty of Information and Communication Technologies
Source: Lecture Notes in Computer Science: proceedings of the 10th International Conference on Service-Oriented Computing (ICSOC 2012), Shanghai, China, 12-15 November 2012 / Chengfei Liu, Heiko Ludwig, Farouk Toumani and Qi Yu (eds.), Vol. 7636, pp. 173-190
Publication year: 2012
FOR Code(s): 08 Information and Computing Sciences
Keyword(s): Aspect-oriented methodology; Business rules; Context-aware services; Model-driven development; PerCAS; Personalized adaptation; Personalized context-aware services; Web services
Publisher: Springer
ISSN: 0302-9743 (series ISSN)
ISBN: 9783642343209, 3642343201
Publisher URL: http://link.springer.com/book/10.1007/978-3-642-34321-6/
Peer reviewed