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Modern Data Management Overview

Modern Data Management Overview. Storage Resource Broker. Reagan W. Moore moore@sdsc.edu http://www.sdsc.edu/srb. Topics. Data management evolution Shared collections Digital Libraries Persistent Archives Building shared collections Project level / National level / International

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Modern Data Management Overview

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  1. Modern Data Management Overview Storage Resource Broker Reagan W. Moore moore@sdsc.edu http://www.sdsc.edu/srb

  2. Topics • Data management evolution • Shared collections • Digital Libraries • Persistent Archives • Building shared collections • Project level / National level / International • Demonstration of shared collections • Access to collections at SDSC

  3. Types of Data Management • File system (AFS) • Provides caching at remote sites, uses single authentication system • Backup system (Veritas) • Provides time-based copies of data, tools for re-loading backups • Database system (Oracle 10g IFS) • Can link metadata to files on an Internet File System • Archive system (HPSS) • Manages data stored on tape, supports parallel I/O streams • Persistent object environment (Avaki) • Provides vaults for storing objects • Globus toolkit • Provides differentiated services for building a data grid

  4. Data Management Environments • Data grids • Manage shared collections • Digital libraries • Provide discovery, browsing, presentation services on top of collections • Persistent archives • Manage technology evolution while the authenticity and integrity of the assembled collection is preserved • Real-time sensor networks • Manage access to real-time data streams from thousands of sensors

  5. Generic Infrastructure • Can a single system provide all of the features needed to implement each type of data management system, while supporting access across administrative domains and managing data stored in multiple types of storage systems? • Answer is data grid technology

  6. Types of Data Management • File system (AFS) • Data grid manages replication, parallel I/O, containers • Backup system (Veritas) • Data grid supports replicas, versions, and snapshots of files and containers • Database system (Oracle 10g IFS) • Data grid virtualizes catalogs - schema extension, bulk metadata load • Archive system (HPSS) • Data grid integrates access across archives and file systems • Persistent object environment (Avaki) • Data grid manages user-defined metadata and collection hierarchy • Globus toolkit - set of differentiated services • Data grid manages consistent state information

  7. Shared Collections • Purpose of SRB data grid is to enable the creation of a collection that is shared between academic institutions • Register digital entity into the shared collection • Assign owner, access controls • Assign descriptive, provenance metadata • Manage state information • Audit trails, versions, replicas, backups, locks • Size, checksum, validation date, synchronization date, … • Manage interactions with storage systems • Unix file systems, Windows file systems, tape archives, … • Manage interactions with preferred access mechanisms • Web browser, Java, WSDL, C library, …

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

  9. Generic Infrastructure • Digital libraries now build upon data grids to manage distributed collections • DSpace digital library - MIT and Hewlitt Packard • Fedora digitial library - Cornell University and University of Virginia • Persistent archives build upon data grids to manage technology evolution • NARA research prototype persistent archive • California Digital Library - Digital Preservation Repository • NSF National Science Digital Library persistent archive

  10. Southern California Earthquake Center Select Receiver (Lat/Lon) Output Time History Seismograms Select Scenario Fault Model Source Model SCEC Community Library • Intuitive User Interface • Pull-Down Query Menus • Graphical Selection of Source Model • Clickable LA Basin Map (Olsen) • Seismogram/History extraction (Olsen) • Access SCEC Digital Library • Data stored in a data grid • Annotated by modelers • Standard naming convention • Automated extraction of selected data and metadata • Management of visualizations SCEC Digital Library

  11. Terashake Data Handling • Simulate 7.7 magnitude earthquake on San Andreas fault • 50 Terabytes in a simulation • Move 10 Terabytes per day • Post-Processing of wave field • Movies of seismic wave propagation • Seismogram formatting for interactive on-line analysis • Velocity magnitude • Displacement vector field • Cumulative peak maps • Statistics used in visualizations • Register derived data products into SCEC digital library

  12. Humidity Climate Ecological Wireless Oceanography Wind Speed Climate Ecological Wireless Oceanography ROADNet Sensor Network Data Integration Seismic Geophysics Rain start Fire start Frank Vernon - UCSD/SIO

  13. Chile June 13, 2005 Mw 7.9 Frank Vernon - UCSD/SIO

  14. National Science Digital Library • URLs for educational material for all grade levels registered into repository at Cornell • SDSC crawls the URLs, registers the web pages into a SRB data grid, builds a persistent archive • 750,000 URLs • 13 million web pages • About 3 TBs of data

  15. Worldwide University Network Data Grid • SDSC • Manchester • Southampton • White Rose • NCSA • U. Bergen • A functioning, general purpose international Data Grid for academic collaborations Manchester-SDSC mirror

  16. KEK Data Grid • Japan • Taiwan • South Korea • Australia • Poland • US • A functioning, general purpose international Data Grid for high-energy physics Manchester-SDSC mirror

  17. BaBar High-energy Physics • Stanford Linear Accelerator • Lyon, France • Rome, Italy • San Diego • RAL, UK • A functioning international Data Grid for high-energy physics Manchester-SDSC mirror Moved over 100 TBs of data

  18. Astronomy Data Grid • Chile • Tucson, Arizona • NCSA, Illinois • A functioning international Data Grid for Astronomy Manchester-SDSC mirror Moved over 400,000 images

  19. International Institutions (2005)

  20. Storage Resource Broker 3.3.1 C Library, Java Unix Shell Databases - DB2, Oracle, Sybase, Postgres, mySQL, Informix File Systems Unix, NT, Mac OSX Archives - Tape, Sam-QFS, DMF, HPSS, ADSM, UniTree, ADS Application HTTP, DSpace, OpenDAP, GridFTP OAI, WSDL, (WSRF) DLL / Python, Perl, Windows Linux I/O C++ NT Browser, Kepler Actors Federation Management Consistency & Metadata Management / Authorization, Authentication, Audit Latency Management Metadata Transport Logical Name Space Data Transport Database Abstraction Storage Repository Abstraction Databases - DB2, Oracle, Sybase, Postgres, mySQL, Informix ORB

  21. SRB Objectives • Automate all aspects of data discovery, access, management, analysis, preservation • Security paramount • Distributed data • Provide distributed data support for • Data sharing - data grids • Data publication - digital libraries • Data preservation - persistent archives • Data collections - Real time sensor data

  22. SRB Developers Reagan Moore - PI Michael Wan - SRB Architect Arcot Rajasekar - SRB Manager Wayne Schroeder - SRB Productization Charlie Cowart - inQ Lucas Gilbert - Jargon Bing Zhu - Perl, Python, Windows Antoine de Torcy - mySRB web browser Sheau-Yen Chen - SRB Administration George Kremenek - SRB Collections Arun Jagatheesan - Matrix workflow Marcio Faerman - SCEC Application Sifang Lu - ROADnet Application Richard Marciano - SALT persistent archives 75 FTE-years of support About 300,000 lines of C

  23. History • 1995 - DARPA Massive Data Analysis Systems • 1997 - DARPA/USPTO Distributed Object Computation Testbed • 1998 - NSF National Partnership for Advanced Computational Infrastructure • 1998 - DOE Accelerated Strategic Computing Initiative data grid • 1999 - NARA persistent archive • 2000 - NASA Information Power Grid • 2001 - NLM Digital Embryo digital library • 2001 - DOE Particle Physics data grid • 2001 - NSF Grid Physics Network data grid • 2001 - NSF National Virtual Observatory data grid • 2002 - NSF National Science Digital Library persistent archive • 2003 - NSF Southern California Earthquake Center digital library • 2003 - NIH Biomedical Informatics Research Network data grid • 2003 - NSF Real-time Observatories, Applications, and Data management Network • 2004 - NSF ITR, Constraint based data systems • 2005 - LC Digital Preservation Lifecycle Management • 2005 - LC National Digital Information Infrastructure and Preservation program

  24. Development • SRB 1.1.8 - December 15, 2000 • Basic distributed data management system • Metadata Catalog • SRB 2.0 - February 18, 2003 • Parallel I/O support • Bulk operations • SRB 3.0 - August 30, 2003 • Federation of data grids • SRB 3.3.1 - April 6, 2005 • Feature requests (extensible schema)

  25. SRB Latency Management Remote Proxies, Staging Data Aggregation Containers Prefetch Network Destination Network Destination Source Caching Client-initiated I/O Streaming Parallel I/O Replication Server-initiated I/O

  26. Latency Management -Bulk Operations • Bulk register • Create a logical name for a file • Load context (metadata) • 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 • Trash can • Sticky bits for access control, …

  27. Logical Name Spaces Data Access Methods (C library, Unix, Web Browser) • Storage Repository • Storage location • User name • File name • File context (creation date,…) • Access constraints Data access directly between application and storage repository using names required by the local repository

  28. Logical Name Spaces Data Access Methods (C library, Unix, Web Browser) Data Collection • 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 • Logical context (metadata) • Control/consistency constraints Data is organized as a shared collection

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

  30. Types of Risk • Media failure • Replicate data onto multiple media • Vendor specific systemic errors • Replicate data onto multiple vendor products • Operational error • Replicate data onto a second administrative domain • Natural disaster • Replicate data to a geographically remote site • Malicious user • Replicate data to a deep archive

  31. How Many Replicas • Three sites minimize risk • Primary site • Supports interactive user access to data • Secondary site • Supports interactive user access when first site is down • Provides 2nd media copy, located at a remote site, uses different vendor product, independent administrative procedures • Deep archive • Provides 3rd media copy, staging environment for data ingestion, no user access

  32. State of the Art Technology • Grid - workflow virtualization • Support execution of jobs (processes) across multiple compute servers • Data grid - data virtualization • Manage a shared collection that is distributed across multiple storage servers • Semantic grid - information virtualization • Create a common understanding of information (metadata) across multiple collections.

  33. For More Information Reagan W. Moore San Diego Supercomputer Center moore@sdsc.edu http://www.sdsc.edu/srb/

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