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Policy Based Data Management Micah Altman – Harvard Monica Omodei – Australian National Data Service Eliot Metsger – Johns Hopkins University Reagan Moore – UNC-CH
Policy Based Data Management Reagan W. Moore Arcot Rajasekar Mike Wan Wayne Schroeder Mike Conway Jason Coposky {moore,sekar,mwan,  schroeder}@diceresearch.org [email_address] http://irods.diceresearch.org
Data Processing Pipeline Preservation Environment Ocean Observatories Initiative NARA Transcontinental Persistent Archive Prototype Carolina Digital Repository Large Synoptic Survey Telescope Digital Library Texas Digital Library French National Library Data Grid Teragrid Temporal Dynamics of Learning Center Australian Research Collaboration Service Taiwan National Archive
Policy-based Data Environments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Life Cycle Project Collection Private Local Policy Data Grid Shared Distribution Policy Digital Library Published Description Policy Data Processing Pipeline Analyzed Service Policy Reference Collection Preserved Representation Policy Federation Sustained Re-purposing Policy Stages correspond to addition of new policies for a broader community Virtualize the stages of the data life cycle through policy evolution Consensus of a broader community at each data life cycle stage
Build Shared Collections ,[object Object],[object Object],[object Object],[object Object]
Policy Based Interoperability
Generic Infrastructure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Virtualization Storage System Storage Protocol Access Interface Policy Enforcement Points Standard Micro-services Map from the actions requested by   the client to multiple policy enforcement points.  Map from policy to standard micro-services. Map from micro-services to standard Posix I/O operations.  Map standard I/O operations to the protocol supported by   the storage system Standard I/O Operations Data Grid
iRODS - Policy-based Data Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Administrative Policies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Open Source Software ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],NSF OCI-0848296  “NARA Transcontinental Persistent Archives Prototype” NSF SDCI-0721400  “Data Grids for Community Driven Applications”

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Moore RDAP11 Policy-based Data Management

  • 1. Policy Based Data Management Micah Altman – Harvard Monica Omodei – Australian National Data Service Eliot Metsger – Johns Hopkins University Reagan Moore – UNC-CH
  • 2. Policy Based Data Management Reagan W. Moore Arcot Rajasekar Mike Wan Wayne Schroeder Mike Conway Jason Coposky {moore,sekar,mwan, schroeder}@diceresearch.org [email_address] http://irods.diceresearch.org
  • 3. Data Processing Pipeline Preservation Environment Ocean Observatories Initiative NARA Transcontinental Persistent Archive Prototype Carolina Digital Repository Large Synoptic Survey Telescope Digital Library Texas Digital Library French National Library Data Grid Teragrid Temporal Dynamics of Learning Center Australian Research Collaboration Service Taiwan National Archive
  • 4.
  • 5. Data Life Cycle Project Collection Private Local Policy Data Grid Shared Distribution Policy Digital Library Published Description Policy Data Processing Pipeline Analyzed Service Policy Reference Collection Preserved Representation Policy Federation Sustained Re-purposing Policy Stages correspond to addition of new policies for a broader community Virtualize the stages of the data life cycle through policy evolution Consensus of a broader community at each data life cycle stage
  • 6.
  • 8.
  • 9. Data Virtualization Storage System Storage Protocol Access Interface Policy Enforcement Points Standard Micro-services Map from the actions requested by the client to multiple policy enforcement points. Map from policy to standard micro-services. Map from micro-services to standard Posix I/O operations. Map standard I/O operations to the protocol supported by the storage system Standard I/O Operations Data Grid
  • 10.
  • 11.
  • 12.
  • 13.