1. Federating Archives in the DELAMAN Network Reagan W. Moore San Diego Supercomputer Center moore@sdsc.edu http://www.npaci.edu/DICE/SRB Storage Resource Broker

2. Build a shared collection Authenticate users independently of the storage systems Control access independently of the storage systems Organize the file name space independently of the storage systems Manage context (metadata) independently of content (files) Maintain consistency between context and operations on content Distributed Data Management Using Data Grids

3. Storage Resource Broker Generic distributed data management technology Data grids - sharing Digital libraries - publication Persistent archives - preservation Federated server architecture / thin client 250,000 lines of “C” code Supports all major compute and storage platforms All requirements listed on following Scenario slides are supported

4. Scenario 1- Data Migration Provide URIDs (logical file names) that are independent of storage system Provide metadata for each file Support browse and discovery on collection hierarchy Support access interfaces to the data Support registration of existing files into a shared collection Single sign-on environment GSI / challenge response / tickets

5. Managing Distributed Data Storage Repository Storage location User name File name File context (creation date,…) Access constraints Data Access Methods (Web Browser, DSpace, OAI-PMH) Naming conventions provided by storage systems

6. Data Grids Provide a Level of Indirection for Each Naming Convention Storage Repository Storage location User name File name File context (creation date,…) Access constraints Data Grid Logical resource name space Logical user name space Logical file name space (URID) Logical context (metadata) Control/consistency constraints Data Collection Data Access Methods (C library, Unix, Web Browser) Data is organized as a shared collection

7. Provide Context for Data Properties of files Provenance - source Descriptive attributes State information resulting from operations on files Organize properties as metadata in a collection hierarchy Define operations on file properties Manage state information - location, replicas, containers, checksums Separate context management from content management Maintain consistency of context as operations are done on content Support context management Schema extension, automated SQL generation, bulk metadata load Metadata extraction through a remote procedure parsing the file

8. SRB server SRB agent SRB server Federated Server Architecture MCAT Read Application SRB agent 1 2 3 4 6 5 Logical Name Or Attribute Condition 1.Logical-to-Physical mapping 2.Identification of Replicas 3.Access & Audit Control Peer-to-peer Brokering Server(s) Spawning Data Access Parallel Data Access R1 R2 5/6

9. Unix Shell Java, NT Browser Kepler Actors OAI, WSDL, WSRF HTTP DSpace OpenDAP Archives - Tape, Sam-QFS, DMF, HPSS, ADSM, UniTree, ADS Databases DB2, Oracle, Sybase, SQLserver, Postgres, mySQL, Informix File Systems Unix, NT, Mac OSX Application ORB Storage Repository Virtualization Catalog Abstraction Databases DB2, Oracle, Sybase, Postgres, mySQL, Informix C, C++, Java Libraries Logical Name Space Latency Management Data Transport Metadata Transport Consistency & Metadata Management / Authorization,Authentication,Audit Linux I/O DLL / Python, Perl Federation Management Storage Resource Broker - Data Grid

11. Scenario 2 - Data Exchange Support access controls on the URIDs Java administration GUI to support owner control of access controls Can delegate permission to set access controls Access controls apply on all replicas independent of storage system Support latency management for moving files across wide area networks Parallel I/O, replication, staging, aggregation of data / metadata / I/O commands Support integrity validation Manage checksums for each file

12. Latency Management -Bulk Operations Bulk register Create a logical name for a file Bulk load Create a copy of the file on a data grid storage repository Bulk unload Provide containers to hold small files and pointers to each file location Bulk delete Mark as deleted in metadata catalog After specified interval, delete file Bulk metadata load Support parsing of metadata from a remote file at remote storage Requests for bulk operations for access control setting, …

13. Scenario 3 - Community Access Within the shared collection, the digital entities are owned and managed by the data grid Files, URLs, SQL commands, database binary large objects can be registered into the shared collection Access controls for Files / metadata / storage systems Access controls are defined for multiple roles Schema extension, create new metadata Modify metadata Add annotations Turn on audit trails Write data Read data

14. Scenario 4 - Explorative Studies Uniform access mechanisms to data across all storage systems Support for queries on databases Support for formatting results (XML, HTML) Support audit trails, encryption Support user-defined collection hierarchy Soft links (build a logical collection of pointers to data within the data grid) Support for multiple types of discovery By URID (Logical File Name) By query on metadata (may be unique to a single file) By GUID (handle system)

15. Scenario 5 - Education SRB is used to build digital libraries Assemble class material Manage student reports Display material through web browsers Federation of digital libraries Controlled sharing across independent data grids or digital libraries Support for cross-registration of logical name spaces Authentication done by “home” data grid Access controls managed by both data grids

16. Federation Data Grid Logical resource name space Logical user name space Logical file name space Logical context (metadata) Control/consistency constraints Data Collection B Data Access Methods (Web Browser, DSpace, OAI-PMH) Data Grid Logical resource name space Logical user name space Logical file name space Logical context (metadata) Control/consistency constraints Data Collection A Access controls and consistency constraints on cross registration of digital entities

17. Scenario 6 - Updating Resources Maintain system level metadata Owner of registered file Creation time, modification time, size, audit trails Replica locations Support for synchronization of replicas Can modify a replica, subsequent reads are to the modified copy Can synchronize copies to the modified version Support for physical file containers Aggregate small files before storage

18. Scenario 7 - Web-based Editions Support for digital library interfaces on top of the data grid Transana - technology to manipulate, edit, and manage classroom video (University of Wisconsin) DSpace - digital library system to manage ingestion of material into a collection OAI-PMH - Open Archives Initiative protocol for metadata harvesting OpenDAP - Data Access Protocol that supports both semantic and structural manipulation of registered files Windows browser, Web browser, Java, WSDL interfaces Collaborating on development of portlet interface

19. Unix Shell Java, NT Browser Kepler Actors OAI, WSDL, WSRF HTTP DSpace OpenDAP Archives - Tape, Sam-QFS, DMF, HPSS, ADSM, UniTree, ADS Databases DB2, Oracle, Sybase, SQLserver,Postgres, mySQL, Informix File Systems Unix, NT, Mac OSX Application ORB Storage Repository Virtualization Catalog Abstraction Databases DB2, Oracle, Sybase, Postgres, mySQL, Informix C, C++, Java Libraries Logical Name Space Latency Management Data Transport Metadata Transport Consistency & Metadata Management / Authorization,Authentication,Audit Linux I/O DLL / Python, Perl Federation Management Storage Resource Broker - Data Grid

20. Scenario 8 - Unconnected Editions Ability to download data from shared collection to local resource Support for PCs, workstations, supercomputers Generalization of anonymous FTP Can issue a ticket permitting Limited number of read accesses valid for specified time interval Can set public access to a sub-collection Can restrict access by user name/domain/zone

21. Local Archives Maintain files in local file system Register existence of the files into the data grid Issue synchronization command to replicate into the archive Maintain a data grid on the local system Entire environment can be installed on a Mac in 15 minutes (Perl install script) Use data grid federation to synchronize name spaces, files, metadata from local data grid to archives data grid

22. Scenario 9 - Collaborative Commmentary Comments can be added by owner Annotations can be added by authorized persons Annotations marked by person name, date Can restrict annotation right by group Can choose to create explicit metadata attributes to manage comments Can store multiple comments per object Can search across metadata Or can use digital library interfaces to manage comments

23. Sites Using the SRB

25. Generic Infrastructure SDSC developed the Storage Resource Broker (SRB) to support access to distributed data Effort started in 1996 as a DARPA funded project Now support over 30 national/international projects Development team of 12 staff is led by Michael Wan, data management systems Arcot Rajasekar, information management systems

26. Arun Jagatheesan George Kremenek Sheau-Yen Chen Arcot Rajasekar (SRB development lead) Reagan Moore (SRB PI) Michael Wan (SRB architect) Roman Olschanowsky (BIRN) Bing Zhu Charlie Cowart Lucas Gilbert Tim Warnock Wayne Schroeder (SRB product) Adam Birnbaum (SRB production) Antoine De Torcy Vicky Rowley (BIRN) Marcio Faerman (SCEC) Students & emeritus Erik Vandekieft Reena Mathew Xi (Cynthia) Sheng Allen Ding Grace Lin Qiao Xin Daniel Moore Ethan Chen Jon Weinburg Supported by overt 20 projects (NSF, DOE, NASA, NARA, NIH, LOC, NHPRC) SDSC SRB Team (left to right)

27. Data Grid Capabilities Data manipulation Containers Parallel I/O Firewall interactions Resource interactions Fault tolerance Load leveling Replication HIPAA security requirements Authentication of all users Access controls on data and metadata Audit trails Data encryption Centralized control Application interfaces C library, Shell commands, Java, Perl, Python, WSDL, workflow

28. Data Management System Features Data grid for managing distributed data Latency management for bulk analyses of collections Infrastructure independent name spaces for describing data, resources, users, and state information Digital library for managing data context Curation services for managing collections Descriptive metadata for discovery Persistent archive to manage technology evolution Interoperability mechanisms between heterogeneous storage systems and user access mechanisms

29. BIRN - Biomedical Informatics Research Network Data Grid Duke UCLA Cal Tech Wash U. Duke Harvard NIH/NCRR Centers for Imaging and Computing Cal-(IT) 2 NPACI/ SDSC “Deep Web” “Surface Web” Integrating Cyber Infrastructure to Link: Advanced Imaging Instruments Data Intensive Computing Multi-Scale Brain Databases Wireless “Pad” Web Interface

30. Digital Library Collection hierarchy for organizing data User-defined metadata Collection level metadata Metadata manipulation Schema extension Bulk metadata processing Queries on metadata Access controls on metadata Views on collections Digital library APIs DSpace, Fedora, OAI-PMH, web browsers METS metadata XML schema

31. Southern California Earthquake Center Store seismic data Managing over 90 TBs, over 1.7 million files Store community models for seismic velocity Data distributed between USC, SDSC SCEC community digital library Storage Resource Broker data grid technology NMI portal interface Digital library services to display seismograms Visualizations of seismic waves at the surface Visualization of seismic wave propagation through the volume SCEC Community Library Select Receiver (Lat/Lon) Output Time History Seismograms Select Scenario Fault Model Source Model

32. Registry Layer Existing Data Centers Data Services Semantics (UCD) SIAP, SSAP VOTable FITS, GIF,… OpenSkyQuery SkyQueryVOPlot OASIS conVOT Topcat Mirage AladinDIS Disks, Tapes, CPUs, Fiber Grid Middleware SRB, Globus, OGSA SOAP, GridFTP data mining visualization image source detection Virtual Observatory Architecture Digital Library Other registries XML, DC, METS OAI ADS My Space storage services Databases, Persistency, Replication Virtual Data Workflow (pipelines) Discover Compute Publish Collaborate Authentication & Authorization crossmatch HTTP Services SOAP Services Grid Services stateless, registered self-describing persistent, authenticated Portals, User Interfaces, Tools Compute Services Bulk Access interfaces to data National Virtual Observatory Provide access to large star catalogs and large image sky surveys 2MASS SDSS DPOSS USNO-B Macho

33. National Science Digital Library Web Interface to Persistent Archive Preserve educational material that has been registered into a central repository at Cornell through URLs Crawl web and retrieve material, 10 levels of indirection Convert internal URLs into data grid handles Aggregate files into containers for storage Preserve using SRB data grid technology Currently housing over 26 million files

34. National Archives and Records Administration - Research Prototype Persistent Archive NARAU MdSDSC MCAT Principle copy stored at NARA with complete metadata catalog Replicated copy at U Md for improved access, load balancing and disaster recovery Deep Archive at SDSC, no user access, but complete copy Demonstrate preservation environment Authenticity Integrity Management of technology evolution Mitigation of risk of data loss Replication of data Federation of catalogs Management of preservation metadata Scalability EAP collection 350,000 files 1.2 TBs in size Federation of Three Independent Data Grids

35. For More Information Reagan W. Moore San Diego Supercomputer Center moore@sdsc.edu http://www.npaci.edu/DICE http://www.npaci.edu/DICE/SRB http://www.npaci.edu/dice/srb/mySRB/mySRB.html