A guide to the SQL standard
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
Maté: a tiny virtual machine for sensor networks
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
IEEE Intelligent Systems
The nesC language: A holistic approach to networked embedded systems
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Hood: a neighborhood abstraction for sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Viptos: a graphical development and simulation environment for TinyOS-based wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
LINQ: reconciling object, relations and XML in the .NET framework
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
The Tenet architecture for tiered sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
TOSDev: a rapid development environment for TinyOS
Proceedings of the 4th international conference on Embedded networked sensor systems
The regiment macroprogramming system
Proceedings of the 6th international conference on Information processing in sensor networks
Map-reduce-merge: simplified relational data processing on large clusters
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Programming sensor networks using abstract regions
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Kensho: a dynamic tasking architecture for sensor networks
ACM SIGBED Review - Special issue on the workshop on wireless sensor network architecture (April-2007)
Evaluating MapReduce for Multi-core and Multiprocessor Systems
HPCA '07 Proceedings of the 2007 IEEE 13th International Symposium on High Performance Computer Architecture
Design and evaluation of a compiler for embedded stream programs
Proceedings of the 2008 ACM SIGPLAN-SIGBED conference on Languages, compilers, and tools for embedded systems
SensorMap for Wide-Area Sensor Webs
Computer
Mars: a MapReduce framework on graphics processors
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Sensorpedia: Information sharing across incompatible sensor systems
CTS '09 Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems
Macro-programming wireless sensor networks using Kairos
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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Web-based sensor data, provided by organizations such as the National Oceanographic and Atmospheric Administration, provide a valuable service to the public and scientific communities. However, much of this data is locked in a variety of presentation formats and is computationally inaccessible. In addition, although these data have a spatiotemporal context, both the spatial and temporal data are usually only implicitly defined. Although storing this data in a consistent database can partially resolve this problem, a data-driven programming model coupled with MapReduce capabilities is a more flexible and extensible solution. Our implementation of this programming model allows users to parse a wide array of sensor data and express complex computation in a simple, scalable manner. In addition, our framework uses a simple key-value storage mechanism and provides convenient geospatial output mechanisms. In this paper, we discuss some early results of our programming model within the context of our current Java-oriented implementation, and demonstrate how the system can be used to create many different applications. We also discuss and evaluate our system with respect to memory usage and scalability.