Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Slingshot: deploying stateful services in wireless hotspots
Proceedings of the 3rd international conference on Mobile systems, applications, and services
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Using a distributed quadtree index in peer-to-peer networks
The VLDB Journal — The International Journal on Very Large Data Bases
One hop lookups for peer-to-peer overlays
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Dryad: distributed data-parallel programs from sequential building blocks
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
SenseWeb: An Infrastructure for Shared Sensing
IEEE MultiMedia
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
Urban sensing: out of the woods
Communications of the ACM - Urban sensing: out of the woods
Virtual trip lines for distributed privacy-preserving traffic monitoring
Proceedings of the 6th international conference on Mobile systems, applications, and services
The pothole patrol: using a mobile sensor network for road surface monitoring
Proceedings of the 6th international conference on Mobile systems, applications, and services
Anonysense: privacy-aware people-centric sensing
Proceedings of the 6th international conference on Mobile systems, applications, and services
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Rise of People-Centric Sensing
IEEE Internet Computing
PoolView: stream privacy for grassroots participatory sensing
Proceedings of the 6th ACM conference on Embedded network sensor systems
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 7th international conference on Mobile systems, applications, and services
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
S4: Distributed Stream Computing Platform
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
4Sensing -- Decentralized Processing for Participatory Sensing Data
ICPADS '10 Proceedings of the 2010 IEEE 16th International Conference on Parallel and Distributed Systems
CloneCloud: elastic execution between mobile device and cloud
Proceedings of the sixth conference on Computer systems
Contrail: enabling decentralized social networks on smartphones
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
IEEE Communications Magazine
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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.