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.
This work was supported partially by project #PTDC/EIA/76114/2006 and PEst-OE/EEI/UI0527/2011 - CITI/FCT/UNL/2011-12.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Ferreira, H., Duarte, S., Preguiça, N., Navalho, D. (2012). Scalable Data Processing for Community Sensing Applications. In: Puiatti, A., Gu, T. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30973-1_7
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DOI: https://doi.org/10.1007/978-3-642-30973-1_7
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