Research Article
Scalable Data Processing for Community Sensing Applications
468 downloads
@INPROCEEDINGS{10.1007/978-3-642-30973-1_7, author={Heitor Ferreira and S\^{e}rgio Duarte and Nuno Pregui\`{e}a and David Navalho}, title={Scalable Data Processing for Community Sensing Applications}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers}, proceedings_a={MOBIQUITOUS}, year={2012}, month={10}, keywords={participatory sensing distributed processing mobile computing}, doi={10.1007/978-3-642-30973-1_7} }- Heitor Ferreira
Sérgio Duarte
Nuno Preguiça
David Navalho
Year: 2012
Scalable Data Processing for Community Sensing Applications
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-642-30973-1_7
Abstract
Participatory Sensing is a new computing paradigm that aims to turn personal mobile devices into advanced mobile sensing networks. For popular applications, we can expect a huge number of users to both contribute with sensor data and request information from the system. In such scenario, scalability of data processing becomes a major issue. In this paper, we present a system for supporting participatory sensing applications that leverages cluster or cloud infrastructures to provide a scalable data processing infrastructure. We propose and evaluate three strategies for data processing in this architecture.
Copyright © 2011–2024 ICST
