---------- Forwarded message ---------- From: Tony McGregor <tonym(a)waikato.ac.nz> Date: Nov 26, 2007 10:22 AM Subject: "Open Source DataTurbine Initiative" Biology lunchtime seminar tomorrow (fwd) To: cs-staff(a)cs.waikato.ac.nz

Open Source DataTurbine Initiative

Tony Fountain, Paul Hubbard, Sameer Tilak, Ilya Zaslavsky University of California, San Diego

The vision of large-scale sensor-based Observing Systems, to address the U.S. National Research Council's "Grand Challenges" for environmental science, relies on robust cyberinfrastructure. Streaming data middleware is an essential component of this cyberinfrastructure, providing the foundation for reliable data acquisition and instrument management services. The environmental science and engineering communities are currently engaged in the early planning and development phases of the next generation of large-scale sensor-based observing systems. The Open Source DataTurbine Initiative is a new NSF-funded project to empower these communities with Streaming Data Middleware.

Large-scale sensor-based observing systems face a number of significant challenges in design and operations, including heterogeneity of instrumentation and complexity of data stream processing. These systems incorporate instruments from across the spectrum of complexity, from temperature sensors to acoustic Doppler current profilers, to streaming video cameras. They typically require integration of instruments from various vendors and R&D labs. Requirements on the cyberinfrastructure include scalable and secure support for real-time data acquisition, instrument and data stream management, and analysis and visualization. To address these cyberinfrastructure challenges in a principled manner, we launched the Open Source DataTurbine Initiative.

DataTurbine is a robust open-source streaming data middleware system that satisfies the core requirements for sensor-based environmental observing systems. It is relatively mature and has been tested in a variety of real-world streaming data applications. It facilitates the development of complex distributed streaming data applications, including real-time virtual observatories and telepresence collaboratories. The Open Source DataTurbine Initiative combines commercial-quality software support with an active and engaged user and developer community. In this talk we share our vision and invite domain scientists and developers to join the Open Source DataTurbine Initiative. We also discuss our experiences and results from real-world deployments of DataTurbine. Further details about the Open Source DataTurbine Initiative can be found at: http://www.dataturbine.org

When: Tues 27th Nov 12:00noon Where: Room A.G.30

<<37 sem 271107 Fountain.doc>> Vicki Smith Administrative Assistant Biological Sciences The University of Waikato Private Bag 3105 Hamilton

Ph 838 4148 Fax 838 4324

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