HR: 1340h
AN: IN13B-1220    [Abstracts]
TI: Using RBNB Data Turbine for Observational Cyberinfrastructure
AU: * Hubbard, P
EM: hubbard@sdsc.edu
AF: SDSC/UCSD, 9500 Gilman Drive MS 0444, La Jolla, CA 92093, United States
AU: Fountain, T
EM: fountain@sdsc.edu
AF: SDSC/UCSD, 9500 Gilman Drive MS 0444, La Jolla, CA 92093, United States
AU: Tilak, S
EM: sameer@sdsc.edu
AF: SDSC/UCSD, 9500 Gilman Drive MS 0444, La Jolla, CA 92093, United States
AB: The vision of large-scale sensor-based Observing Systems to address the National Research Council's "Grand Challenges" for environmental science relies on robust cyberinfrastructure. Environmental science and engineering communities are now actively engaged in the early planning and development phases of the next generation of large-scale sensor-based observing systems. Streaming data middleware is a layer above the network that provides several key functions: robustness, device abstraction, scalability, buffering and routing. All of these assist in the design, deployment and management of large sensor networks. RBNB (Ring Buffer Network Bus) DataTurbine is a newly open-sourced system for streaming data middleware that is being used in a variety of projects. Formerly a successful commercial streaming data product with a track record of performance in NSF and NASA projects, RBNB DataTurbine provides an excellent basis for developing robust streaming data middleware. We are working on several efforts to deploy, improve and adapt DataTurbine for observational cyberinfrastructure. Performance metrics, documentation, instrument interfaces, web access to live data, system health monitoring, database backends as well as scalability experiments are all underway. Additionally, we are attempting to build a community of developers and users around the project to provide for the kind of longevity required in long-term projects. In this paper we discuss our results to date with RBNB DataTurbine on a variety of projects from ecological to earthquake engineering.
DE: 9820 Techniques applicable in three or more fields
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting