KEYWORDS: Data archive systems, Data storage, Data storage servers, Data acquisition, Data conversion, Databases, Data modeling, Binary data, Data processing, MODIS
As the EOSDIS archives grow, it could easily become more difficult for users to find and retrieve the data they need and to quickly get that data into a form they can use. NASA has been developing capabilities to address this concern over the past year and recently deployed an initial set of capabilities to its major Distributed Active Archive Centers (DAACs). The solution, called Data Pools, makes a significant portion of the data in the EOSDIS archives available on-line for immediate access, and provides several innovative data navigation, tailoring and rapid access services to help users quickly find just the data they need, get it into a form they can use, and then quickly retrieve the data. This paper describes the Data Pool architecture, and its approach to addressing data location, tailoring and retrieval difficulties that could have eventually plagued EOSDIS users. The paper also discusses how the Data Pools architecture could be expanded to provide a cost-effective evolutionary architecture for EOSDIS.
KEYWORDS: Data centers, Data archive systems, Data processing, Databases, Data acquisition, Commercial off the shelf technology, Data backup, Software development, Space operations, Chemical elements
When completed, NASA's EOSDIS Core System (ECS) will be the world's largest Earth science data system, managing almost nine petabytes of data and disseminating more than two terabytes each day. The system's original design assumed that all science data archive, processing and dissemination would be done using high performance subsystems with complex distributed object interfaces between them. These interfaces made it difficult for others to extend the system without incurring the prohibitively high costs of supporting this infrastructure. Over the past three years, most of these interfaces have been replaced with greatly simplified script and file-based interfaces. NASA also has encouraged science and Data Center groups to modify and extend the system's core functionality. As these extensions began to emerge, it was apparent that new configuration management and system deployment methods would be needed to leverage each group's extensions across the ECS Data Centers. NASA has adapted several Open Source development techniques to address this need. This paper will describe how the ECS architecture and supporting development methods have evolved to support Open Source development concepts while at the same time satisfying ECS's challenging requirements. It also will describe how these changes have helped lower the system's overall costs and decrease the time it takes for new capabilities to become operational. We plan to build on the success of these initial changes to encourage additional EOSDIS user participation through many new roles: client and portal providers, data providers, algorithm providers, data processing centers, data service providers, distribution centers and data managers.
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