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Mike Smorul Saurabh Channan

Digital Preservation and Archiving at the Institute for Advanced Computer Studies University of Maryland, College Park. Mike Smorul Saurabh Channan. Overview. Digital Preservation Research ADAPT Project and Components Pilot Persistent Archive

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Mike Smorul Saurabh Channan

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  1. Digital Preservation and Archiving at the Institute for Advanced Computer StudiesUniversity of Maryland, College Park Mike Smorul Saurabh Channan

  2. Overview • Digital Preservation Research • ADAPT Project and Components • Pilot Persistent Archive • Digital Library and Production Data Distribution • Global Land Cover Facility • Conclusion

  3. A Digital Approach to Preservation Technology (ADAPT) • Premise: • Preservation of digital entities into self-describing objects • OAIS Information Packet model as a framework • Separation of management into three layers, bitstream, semantic, and access/discovery • Distributed and Secure Infrastructure • Automatic ingestion and replication • Policy-Driven Management of Preservation Processes • Global Format Registry • Separate Peer-to-Peer Deep Archive

  4. ADAPT Architecture

  5. ADAPT Components • Ingestion • Producer-Archive Workflow Network (PAWN) • Management of Preservation Processes • Lightweight Preservation Environment (LPE) • Access and Discovery • Grid Retrieval and Search Platform (GRASP) • EAP Collection browser

  6. Overall Principles (PAWN) • Distributed, secure ingestion • OAIS based Information Packet creation • Use of web/grid technologies – platform independent • Minimal client-side requirements • Ease of integration with archive and data grid systems. • Designed to satisfy data integrity requirements of scientific collections and digital preservation

  7. Distributed Ingestion (PAWN)

  8. Ingestion Workflow (PAWN) • Negotiate Submission Agreement. • Workflow Initialization and Submission Information Packet (SIP) creation. • Transfer of SIPs to Data Grid site. • Validation of SIP transfer • Organization of data into collections and transfer into Data Grid.

  9. Component Overview (PAWN)

  10. Target Collections (PAWN) • Digital Image Collection • Rich metadata in various formats • Web site crawling • Online and interactive content • GLCF Landsat data • Spatial and temporal metadata • Large quantity (over 15,000 objects)

  11. Lightweight Preservation Environment (LPE) • The Lightweight Preservation Environment is an archival system based on a modular design using grid and web services. • The current implementation relies mostly on Globus technologies. • Primarily, we’ve focused on wrapping logic around those components.

  12. Developed Components (LPE) • Data Manager (DM):Organizes data and queries between the user and the other components • Policy Manager (PM):Ensures that a minimum number of copies exist for any given file • Transformation Manager (TM):Executes specific transformations on a named file on a given storage node and returns the results

  13. Grid Retrieval and Search Platform (GRASP) • Based on concepts developed in the Earth Science Data Interface (ESDI) developed at the UMIACS GLCF. • Provides a graphical interface into data grid holdings. • Access to entire GLCF holdings through the Storage Resource Broker(SRB)

  14. GRASP Architecture

  15. GRASP Architecture • GRASP uses a data grid as an abstract storage repository. • Metadata in the grid is mined from the grid itself or from external sources and published into a browsable form. • Data grids may allow for platform independent metadata, but may not be optimal for access

  16. GRASP Screenshot

  17. Global Land Cover Facility • Mission: “The GLCF Mission is to encourage the use of remotely sensed imagery, derived products and applications within a broad range of science communities in a manner that improves comprehension of the nature and causes of land cover change and its impact on the Earth.” • Goal: “The GLCF Goal is to provide free access to an integrated collection of critical land cover and Earth science data through systems that are designed to maximize user outreach and that promote development of novel tools for ordering, visualizing and manipulating spatial data.”

  18. Data Collections Majority of the holdings are of Landsat and MODIS data

  19. Data Distribution • Data at the GLCF • Approximately 5.1 TB compressed • Approximately 13 TB uncompressed • Anticipated Production Rate • Triple or Quadruple current data holding within the next two year

  20. Data Discovery Applications • ESDI • Web Interface • User friendly • Search • Retrieve • Discover • Scalable • Over 9TB a month !

  21. GLCF Architecture Scalable and Reliable

  22. Participation Possibilities • PAWN ingestion component • Minimal geospatial metadata support planned, can be expanded to support NGDA endpoint • GRASP display component • Solid core components, end-user interfaces need additional polishing • GLCF data holdings • Additional hardware required if additional data and access mechanisms (grid, etc) required • Other possibilities include: grid infrastructure, GSI security, format registry, etc.

  23. Questions

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