DocumentCode
2023642
Title
Research of Context Situation Awareness Technology
Author
Shi, Dianxi ; Wu, Zhendong ; Ding, Bo ; Yan, Huining
Author_Institution
Nat. Key Lab. for Parallel & Distrib. Process., Nat. Univ. of Defense Technol., Changsha, China
fYear
2012
fDate
11-11 April 2012
Firstpage
65
Lastpage
69
Abstract
Context situation, which means a snapshot of the status of the real world, is formed by integrating a large amount of contexts collected from various resources. How to get the context situation and use the situation to provide better services is a challenging issue. In this paper, we focused on this challenge on the basis of the mobile cloud computing architecture. An abstract model is proposed in this paper to uniformly collect the context and send them to cloud. A rule-based large-scale context aggregation algorithm is also proposed which utilizes the MapReduce computing paradigm. Finally, a large-scale context management framework based on the abstract model and the context aggregation algorithm is proposed, and a real-time traffic demo is implemented to verify the validity of the framework.
Keywords
cloud computing; mobile computing; software architecture; traffic information systems; MapReduce computing paradigm; abstract model; context situation awareness technology; large-scale context management framework; mobile cloud computing architecture; real-time traffic demo; rule-based large-scale context aggregation algorithm; Context; Context modeling; Mobile communication; Mobile handsets; Real time systems; Sensors; Servers; Aggregation; Context Situation; MapReduce; Rule-based; Software Abstraction Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2012 15th IEEE International Symposium on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-4673-0900-4
Type
conf
DOI
10.1109/ISORCW.2012.22
Filename
6196104
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