Scalable Data Processing for Community Sensing Applications

Sérgio Marco Duarte, Nuno Manuel Ribeiro Preguiça

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Participatory Sensing is a new computing paradigm that aims to turn personal mobile devices into advanced mobile sensing net- works. 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 ma- jor issue. In this paper, we present a system for supporting participatory sensing applications that leverages cluster or cloud infrastructures to pro- vide a scalable data processing infrastructure. We propose and evaluate three strategies for data processing in this architecture.
Original languageUnknown
Title of host publicationLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST)
Pages1-12
Publication statusPublished - 1 Jan 2011
Event8th International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (Mobiquitous '11) -
Duration: 1 Jan 2011 → …

Conference

Conference8th International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (Mobiquitous '11)
Period1/01/11 → …

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