We started the discussion with TexNet,a seismic monitoring program operated by the Bureau of Economic Geology at University of Texas. Additional seismometers are scheduled to be deployed this month, some apparently in Irving and North Dallas. We discussed the system topology.
The event continued with keynote speaker Brandon Swink, an IT Architect working with Apache Edgent, an open source community for accelerating sensor data analytics at the edge.
The presentation (PDF) started with an overview of edge processing and some of the advantages such as reduced communication cost and improved reaction times compared to high latency or severed connections.
Brandon then gave an overview of the current Java development environment incorporating use of existing, publicly available libraries in the ecosystem for faster development of solutions. The demonstration simulated a smart sprinkler system with a Raspberry Pi acting as the edge computer and data simulating soil moisture readings.
Getting Started with Apache Edgent
Apache Quarks on Raspberry Pi with Streaming Analytics
Connect your Raspberry Pi sensors to Watson IoT Platform with Apache Quarks