Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/77799
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Type: | Conference paper |
Title: | PerCAS: an approach to enabling dynamic and personalized adaptation for context-aware services |
Author: | Yu, J. Han, J. Sheng, Q. Gunarso, S. |
Citation: | Proceedings of the 10th International Conference on Service-Oriented Computing, held in Shanghai, China, 12-15 November, 2012 / C. Liu, H. Ludwig, F. Toumani and Q. Yu (eds.): pp.173-190 |
Publisher: | Springer-Verlag |
Publisher Place: | Germany |
Issue Date: | 2012 |
Series/Report no.: | Lecture Notes in Computer Science; 7636 |
ISBN: | 9783642343209 |
ISSN: | 0302-9743 1611-3349 |
Conference Name: | International Conference on Service-Oriented Computing (10th : 2012 : Shanghai, China) |
Statement of Responsibility: | Jian Yu, Jun Han, Quan Z. Sheng and Steven O. Gunarso |
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. |
Keywords: | Context-aware services web services personalized adaptation model-driven development aspect-oriented methodology business rules |
Rights: | © Springer-Verlag Berlin Heidelberg 2012 |
DOI: | 10.1007/978-3-642-34321-6_12 |
Published version: | http://dx.doi.org/10.1007/978-3-642-34321-6_12 |
Appears in Collections: | Aurora harvest Computer Science publications |
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