HR: 09:20h
AN: U21A-06    [PDF]
TI: ROADNET: A Real-time Data Aware System for Earth, Oceanographic, and Environmental Applications
AU: * Vernon, F
EM: flvernon@ucsd.edu
AF: IGPP, UCSD, La Jolla, CA 92039-0225
AU: Hansen, T
EM: tshansen@nlanr.net
AF: SDSC, UCSD, La Jolla, CA 92093
AU: Lindquist, K
EM: kent@lindquistconsulting.com
AF: Lindquist Consulting, 59 College Rd, Fairbanks, AK 99701
AU: Ludascher, B
EM: ludaesch@sdsc.edu
AF: SDSC, UCSD, La Jolla, CA 92093
AU: Orcutt, J
EM: jorcutt@ucsd.edu
AF: IGPP, UCSD, La Jolla, CA 92039-0225
AU: Rajasekar, A
EM: sekar@sdsc.edu
AF: SDSC, UCSD, La Jolla, CA 92093
AB: The Real-time Observatories, Application, and Data management Network (ROADNet) Program aims to develop an integrated, seamless, and transparent environmental information network that will deliver geophysical, oceanographic, hydrological, ecological, and physical data to a variety of users in real-time. ROADNet is a multidisciplinary, multinational partnership of researchers, policymakers, natural resource managers, educators, and students who aim to use the data to advance our understanding and management of coastal, ocean, riparian, and terrestrial Earth systems in Southern California, Mexico, and well off shore. To date, project activity and funding have focused on the design and deployment of network linkages and on the exploratory development of the real-time data management system. We are currently adapting powerful "Data Grid" technologies to the unique challenges associated with the management and manipulation of real-time data. Current "Grid" projects deal with static data files, and significant technical innovation is required to address fundamental problems of real-time data processing, integration, and distribution. The technologies developed through this research will create a system that  dynamically adapt downstream processing, cataloging, and data access interfaces when sensors are added or removed from the system;  provide for real-time processing and monitoring of data streams--detecting events, and triggering computations, sensor and logger modifications, and other actions;  integrate heterogeneous data from multiple (signal) domains; and  provide for large-scale archival and querying of "consolidated" data. The software tools which must be developed do not exist, although limited prototype systems are available. This research has implications for the success of large-scale NSF initiatives in the Earth sciences (EarthScope), ocean sciences (OOI- Ocean Observatories Initiative), biological sciences (NEON - National Ecological Observatory Network) and civil engineering (NEES - Network for Earthquake Engineering Simulation). Each of these large scale initiatives aims to collect real-time data from thousands of sensors, and each will require new technologies to process, manage, and communicate real-time multidisciplinary environmental data on regional, national, and global scales.
DE: 4299 General or miscellaneous
DE: 7299 General or miscellaneous
SC: U
MN: 2003 Fall Meeting