TY - JOUR
T1 - Scalable Data Processing for Community Sensing Applications
AU - Duarte, Sérgio Marco
AU - Preguiça, Nuno Manuel Ribeiro
N1 - Sem PDF conforme Despacho
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
AB - 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.
KW - Mobile computing
KW - Participatory sensing
KW - Distributed processing
U2 - 10.1007/s11036-012-0424-9
DO - 10.1007/s11036-012-0424-9
M3 - Article
SN - 1383-469X
VL - 18
SP - 357
EP - 372
JO - Mobile Networks And Applications
JF - Mobile Networks And Applications
IS - 3
ER -