Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers

Research Article

Scalable Data Processing for Community Sensing Applications

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  • @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
Heitor Ferreira1, Sérgio Duarte1, Nuno Preguiça1, David Navalho1
  • 1: CITI-DI-FCT-UNL

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.