Towards a standards-based autonomic context management system

Indulska, Jadwiga, Henricksen, Karen and Hu, Peizhao (2006). Towards a standards-based autonomic context management system. In: l. Yang, H. Jin, J. Ma and T. Ungerer, Autonomic and Trusted Computing. 3rd International Conference on Autonomic and Trusted Computing, Wuhan, China, (26-37). 3-6 September, 2006.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
Author Indulska, Jadwiga
Henricksen, Karen
Hu, Peizhao
Title of paper Towards a standards-based autonomic context management system
Conference name 3rd International Conference on Autonomic and Trusted Computing
Conference location Wuhan, China
Conference dates 3-6 September, 2006
Proceedings title Autonomic and Trusted Computing   Check publisher's open access policy
Journal name Autonomic and Trusted Computing, Proceedings   Check publisher's open access policy
Place of Publication Berlin
Publisher Springer-Verlag Berlin
Publication Year 2006
Sub-type Fully published paper
ISBN 3-540-38619-X
ISSN 0302-9743
Editor l. Yang
H. Jin
J. Ma
T. Ungerer
Volume 4158
Start page 26
End page 37
Total pages 12
Collection year 2006
Language eng
Abstract/Summary Pervasive computing applications must be sufficiently autonomous to adapt their behaviour to changes in computing resources and user requirements. This capability is known as context-awareness. In some cases, context-aware applications must be implemented as autonomic systems which are capable of dynamically discovering and replacing context sources (sensors) at run-time. Unlike other types of application autonomy, this kind of dynamic reconfiguration has not been sufficiently investigated yet by the research community. However, application-level context models are becoming common, in order to ease programming of context-aware applications and support evolution by decoupling applications from context sources. We can leverage these context models to develop general (i.e., application-independent) solutions for dynamic, run-time discovery of context sources (i.e., context management). This paper presents a model and architecture for a reconfigurable context management system that supports interoperability by building on emerging standards for sensor description and classification.
Subjects E1
289999 Other Information, Computing and Communication Sciences
700399 Communication services not elsewhere classified
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes published in LNCS 4158

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Thu, 23 Aug 2007, 21:46:37 EST