HR: 1340h
AN: SF23A-0043    [Abstracts]
TI: Overview of an Algorithm Plugin Package (APP)
AU: Linda, M
EM: Mike.Linda@gsfc.nasa.gov
AF: SAIC, 7501 Forbes Blvd., Suite 103, Seabrook, MD 20706 United States
AU: Tilmes, C
EM: Curt.Tilmes@nasa.gov
AF: NASA GSFC, Code 922, Greenbelt, MD 20771 United States
AU: * Fleig, A J
EM: Albert.J.Fleig.1@gsfc.nasa.gov
AF: PITA Analytic Sciences, 8705 Burning Tree Rd., Bethesda, MD 20817 United States
AB: Science software that runs operationally is fundamentally different than software that runs on a scientist's desktop. There are complexities in hosting software for automated production that are necessary and significant. Identifying common aspects of these complexities can simplify algorithm integration. We use NASA's MODIS and OMI data production systems as examples. An Algorithm Plugin Package (APP) is science software that is combined with algorithm-unique elements that permit the algorithm to interface with, and function within, the framework of a data processing system. The framework runs algorithms operationally against large quantities of data. The extra algorithm-unique items are constrained by the design of the data processing system. APPs often include infrastructure that is vastly similar. When the common elements in APPs are identified and abstracted, the cost of APP development, testing, and maintenance will be reduced. This paper is an overview of the extra algorithm-unique pieces that are shared between MODAPS and OMIDAPS APPs. Our exploration of APP structure will help builders of other production systems identify their common elements and reduce algorithm integration costs. Our goal is to complete the development of a library of functions and a menu of implementation choices that reflect common needs of APPs. The library and menu will reduce the time and energy required for science developers to integrate algorithms into production systems.
DE: 0399 General or miscellaneous
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting