HR: 0800h
AN: SF31A-0701    [Abstracts]
TI: Web Services in Earth Science Data Systems: Realities of Brokering, Chaining and Federating Services
AU: * Burnett, M
EM: mburnett@blueprinttech.com
AF: Blueprint Technologies, Inc., 8618 Westwood Center Drive, Suite 310, Vienna, VA 22182
AU: Seablom, M
EM: michael.s.seablom@nasa.gov
AF: NASA/GSFC, Code 586, Greenbelt, MD 20771
AU: Pfister, R
EM: robin.g.pfister@nasa.gov
AF: NASA/GSFC, Code 586, Greenbelt, MD 20771
AB: The key to the next-generation of science will be unlocked through synergy between resources held by many differing individuals and organizations. These resources include missions, information, data, models, algorithms and related operations/services. Key infrastructure technology can enable this synergy - allowing scientists to discover and utilize these resources in innovative and efficient ways. Currently, the process to invoke data operations without the use of service brokering capabilities can be laborious. Scientists must first find data of interest, locate appropriate service(s) (e.g. subsetting), download, manage and execute the service on their own server before they can start the process of doing their job of science analysis or research. The vision of the future is that a scientist sits in front of a laptop computer thinking about a science problem. Scenario: A scientist in Illinois wants to study the re-vegetation process over recently active volcanoes and needs satellite images that are 1) mostly cloud-free, 2) exist in the green, red, and near-infrared portions of the spectrum, and 3) occur over specific, discrete regions of the Northern Hemisphere. The multi-instrument data, need to be co-registered, re-projection and delivered in NetCDF format. In this scenario, the user interacts with information about the data and services to identify data resources needed to analyze science question. Of the petabytes of data and hundreds of data services available, the scientist is able to rapidly get a comprehensive, seamless view tailored to her research and analyze the issue. It is not necessary for the scientist to know that behind the scenes exists an enterprise of seamless, distributed data and services that find the data and streams it to a series of chained services in physically disparate locations to apply data transformation algorithms that meet the user's specifications and ultimately delivers the data to the user's laptop. However, the scientist will have access to the complete provenance of the newly generated product. The user receives only the data that she needs in a form that is optimized for her study in rapid turnaround. Today, technology is emerging to begin to meet this vision. Web Services technology is a key part of this evolving solution. There are still challenges to face. This presentation will discuss Web Services technology and its application to achieve this vision as well as the realities of the challenges and issues we still face in making the vision a reality.
UR: http://eos.nasa.gov/echo
DE: 9810 New fields (not classifiable under other headings)
DE: 9820 Techniques applicable in three or more fields
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting