Paper Info
Title
BodyCloud: A SaaS approach for community Body Sensor Networks.
Abstract
Body Sensor Networks (BSNs) have been recently introduced for the remote monitoring of human activities in a broad range of application domains, such as health care, emergency management, fitness and behavior surveillance. BSNs can be deployed in a community of people and can generate large amounts of contextual data that require a scalable approach for storage, processing and analysis. Cloud computing can provide a flexible storage and processing infrastructure to perform both online and offline analysis of data streams generated in BSNs. This paper proposes BodyCloud, a SaaS approach for community BSNs that supports the development and deployment of Cloud-assisted BSN applications. BodyCloud is a multi-tier application-level architecture that integrates a Cloud computing platform and BSN data streams middleware. BodyCloud provides programming abstractions that allow the rapid development of community BSN applications. This work describes the general architecture of the proposed approach and presents a case study for the real-time monitoring and analysis of cardiac data streams of many individuals.
Year
DOI
Venue
2014
10.1016/j.future.2013.12.015
Future Generation Comp. Syst.
Keywords
Field
DocType
community body sensor networks,offline analysis,saas approach,bsn data streams middleware,cardiac data stream,community bsns,contextual data,cloud-assisted bsn application,community bsn application,data stream,cloud computing,saas,software engineering
Middleware,Data stream mining,Computer science,Contextual design,Real-time computing,Software as a service,Online and offline,Wireless sensor network,Distributed computing,Scalability,Cloud computing
Journal
Volume
ISSN
Citations 
35
0167-739X
80
PageRank 
References 
Authors
2.58
34
4
Name
Order
Citations
PageRank
Giancarlo Fortino11756155.44
Daniele Parisi2802.58
Vincenzo Pirrone3802.58
Giuseppe Di Fatta452939.23