HR: 1340h
AN: IN23A-0954    [Abstracts]
TI: RBNB DataTurbine streaming data middleware deployment for global lake ecological observatory network sites
AU: * Tilak, S
EM: sameer@sdsc.edu
AF: San Diego Supercomputer Center, SDSC - UC San Diego, MC 0505 | 9500 Gilman Drive, La Jolla, CA 92093, United States
AU: Arzberger, P
EM: parzberg@sdsc.edu
AF: UCSD, Calit2, UC San Diego, La Jolla, CA 92093, United States
AU: Blenckner, T
EM: sameer@sdsc.edu
AF: Uppsala University, Sweden, Uppsala University, Sweden, Uppsala, CA SE-75007, Sweden
AU: Fountain, T
EM: fountain@sdsc.edu
AF: San Diego Supercomputer Center, SDSC - UC San Diego, MC 0505 | 9500 Gilman Drive, La Jolla, CA 92093, United States
AU: Hansen, P
EM: pchanson@wisc.edu
AF: University of Wisconsin Madison, Department of Limnology, University of Wisconsin Madison, Madison, WI 53706, United States
AU: Kratz, T
EM: tkkratz@wisc.edu
AF: University of Wisconsin Madison, Department of Limnology, University of Wisconsin Madison, Madison, WI 53706, United States
AU: Pierson, D
EM: dpierson@dep.nyc.gov
AF: NY City department of NY City - Environmental Protection, NY City department of Environmental Protection, Kingston, NY 12401, United States
AU: Winslow, L
EM: lawinslow@wisc.edu
AF: University of Wisconsin Madison, Department of Limnology, University of Wisconsin Madison, Madison, WI 53706, United States
AB: GLEON, the Global Lake Ecological Observatory Network, is a grassroots network of people, institutions, programs, and data, linked by cyberinfrastructure and united by the common mission to understand and predict the response of lake ecosystems to natural processes and human activity at regional, continental, and global scales. Lake Erken in Sweden serves as a natural laboratory where various important limnological processes and changes can be studied in situ including buildup of several data banks on all relevant atmospheric, aquatic, soil parameters that force the functioning and metabolism of the lake. Lake Erken has been instrumented with a broad range of sensors to pursue a deeper understanding of lake metabolism. The original monitoring program of automated lake weather and water temperature measurements began in the 1960s and, starting in 1986, these measurement systems were converted to digital recording. There is now a database of more than a 20 years of digital lake weather and water temperature data from Lake Erken, along with data from other lake stations and stream monitoring stations which are part of the monitoring network. The Erken Laboratory and its research staff strongly support the data sharing and scientific goals of the GLEON project and were interested in making their unique database part of the GLEON project. Lake Erken research staff was also interested in acquiring and sharing the real-time sensor data. Unfortunately, management of real-time sensor data streams presents major processing, communication and administrative challenges. More specifically, these applications demand scalable and secure support for data acquisition, instrument and data stream management, and analysis and visualization. However, most applications address these issues by building custom systems that are invariably complex and difficult to support. Extensibility, scalability, and interoperability are often sacrificed under this approach. To address these cyberinfrastructure challenges in a principled manner, we deployed RBNB DataTurbine – an open-source streaming data middleware system. More specifically, RBNB DataTurbine was deployed to perform sensor data acquisition, transport, and dissemination in a scalable and reliable fashion. All legacy data was input into the database designed for use by GLEON sites and the RBNB-based deployment was set up so that real-time data is automatically written into the database. This allowed local researchers not only to use and adapt RBNB DataTurbine for their site, but also enabled them to join the global GLEON community thereby giving them access to international data. In this poster, we discuss the set up at the Lake Erken site (including details on sensors and communication network etc.) followed by description of their traditional data acquisition methodology. We then give a detailed description of our RBNB DataTurbine deployment at Lake Erken.
DE: 9820 Techniques applicable in three or more fields
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting