Near-line Archive Data Mining at the Goddard Distributed Active Archive Center

NASA's Earth Observing System (EOS) is generating immense volumes of data, in some cases too much to provide to users with data-intensive needs. As an alternative to moving the data to the user and his/her research algorithms, we are providing a means to move the algorithms to the data. The Near-line Archive Data Mining (NADM) system is the Goddard Earth Sciences Distributed Active Archive Center's (GES DAAC) web data mining portal to the EOS Data and Information System (EOSDIS) data pool, a 50-TB online disk cache. The NADM web portal enables registered users to submit and execute data mining algorithm codes on the data in the EOSDIS data pool. A web interface allows the user to access the NADM system. The users first develops personalized data mining code on their home platform and then uploads them to the NADM system. The C, FORTRAN and IDL languages are currently supported. The user developed code is automatically audited for any potential security problems before it is installed within the NADM system and made available to the user. Once the code has been installed the user is provided a test environment where he/she can test the execution of the software against data sets of the user's choosing. When the user is satisfied with the results, he/she can promote their code to the "operational" environment. From here the user can interactively run his/her code on the data available in the EOSDIS data pool. The user can also set up a processing subscription. The subscription will automatically process new data as it becomes available in the EOSDIS data pool. The generated mined data products are then made available for FTP pickup. The NADM system uses the GES DAAC-developed Simple Scalable Script-based Science Processor (S4P) to automate tasks and perform the actual data processing. Users will also have the option of selecting a DAAC-provided data mining algorithm and using it to process the data of their choice.