DocumentCode
484971
Title
A User-centric Task Computing Architecture for Pervasive Computing
Author
Jiang, Faqun ; Li, Jintao ; Zhu, Zhenmin
Author_Institution
Pervasive Comput. Res. Center, Chinese Acad. of Sci., Beijing
Volume
1
fYear
2008
fDate
6-8 Oct. 2008
Firstpage
491
Lastpage
496
Abstract
Recent advances in pervasive computing and service-oriented computing have led to a desire to better support user-oriented tasks. Task computing is a new paradigm that tries to provide computational support for humans in terms of their tasks that the human is involved in, which has become a driving force in realizing the vision of pervasive computing. One of the key challenges of task computing paradigm is how to build the appropriate infrastructure in filling the gap between the tasks and the services. To solve the problem, this paper puts forward a user-centric task computing architecture for heterogeneous and dynamic pervasive computing environments which called U-TCA. The U-TCA focuses on sensing and abstracting user´s requirement based task model on the one hand, and using middleware to mask the heterogeneity of computing environment on the other hand. The key technologies of the U-TCA are also discussed in detail, including the techniques of task acquisition, task modeling and task mapping.
Keywords
Web services; middleware; task analysis; ubiquitous computing; user modelling; heterogeneous pervasive computing; middleware; service-oriented computing; task acquisition; task mapping; task modeling; user requirement abstraction; user-centric task computing architecture; Computer architecture; Computer vision; Environmental management; Filling; Humans; Middleware; Mobile computing; Pervasive computing; Semantic Web; Ubiquitous computing; Pervasive Computing; Task Computing; Task Model; User-centric;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
Conference_Location
Alexandria
Print_ISBN
978-1-4244-2020-9
Electronic_ISBN
978-1-4244-2021-6
Type
conf
DOI
10.1109/ICPCA.2008.4783638
Filename
4783638
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