Forest Project

Project Information

Discipline

Earth, Atmospheric, and Ocean Sciences, n.e.c. (304) 

Orientation

Research 

The Forest project seeks to create a framework that allows arbitrary remote-sensing devices to stream data to the cloud for processing and users to upload their own processing steps to combine and generate new data products and view the results.

To implement an open architecture for streaming, archiving and processing remote sensor data inputs.

The ability to deploy large numbers of remote sensors and gather large amounts of data is growing as the costs to buy and maintain individual sensors decreases. The availability of an open and flexible system for putting the output from collections of sensor equipment together would valuable to any researchers needing multi-stream remote sensing.

Project Contact

Project Lead

Erik Keever (ekeever1) 

Project Manager

Kate Keahey (keahey) 

Project Members

Erik Keever, Kate Keahey  

Resource Requirements

Hardware Systems

• alamo (Dell optiplex at TACC)
• hotel (IBM iDataPlex at U Chicago)

 

FG, Nimbus and Phantom will be used to provide and develop a system that can automatically scale as more data streams are added, and to handle user requests to search or process large amounts of archived data in a reasonable time.

At initial scale, we expect to use relatively small number of VMs for our experiments.

Project Timeline

Submitted

08/28/2013 - 18:43