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.
|Title of host publication||Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST)|
|Publication status||Published - 1 Jan 2011|
|Event||8th International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (Mobiquitous '11) - |
Duration: 1 Jan 2011 → …
|Conference||8th International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (Mobiquitous '11)|
|Period||1/01/11 → …|