Paper Info
Title
BodyCloud: Integration of Cloud Computing and body sensor networks
Abstract
Spatially distributed sensor nodes can be used to monitor systems and humans conditions in a wide range of application domains. A network of body sensors in a community of people generates large amounts of contextual data that requires a scalable approach for storage and processing. Cloud computing can provide a powerful, scalable storage and processing infrastructure to perform both online and offline analysis and mining of body sensor data streams. This paper presents BodyCloud, a system architecture based on Cloud Computing for the management and monitoring of body sensor data streams. It incorporates key concepts such as scalability and flexibility of resources, sensor heterogeneity, and the dynamic deployment and management of user and community applications.
Year
DOI
Venue
2012
10.1109/CloudCom.2012.6427537
CloudCom
Keywords
Field
DocType
scalable approach,processing infrastructure,body sensor,scalable storage,community application,contextual data,sensor node,cloud computing,sensor heterogeneity,body sensor network,body sensor data stream,data mining,health care,wireless sensor networks,real time systems,patient monitoring,computer architecture
Key distribution in wireless sensor networks,Data stream mining,Computer science,Visual sensor network,Real-time computing,Online and offline,Systems architecture,Wireless sensor network,Distributed computing,Scalability,Cloud computing
Conference
Citations 
PageRank 
References 
48
1.69
20
Authors
3
Name
Order
Citations
PageRank
Giancarlo Fortino11756155.44
Giuseppe Di Fatta252939.23
Mukaddim Pathan320411.71