modern data management overview storage resource broker reagan w. moore moore@sdsc.edu
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Modern Data Management Modern Data Management OverviewOverview
Storage Resource BrokerStorage Resource Broker
Reagan W. MooreReagan W. Moore
moore@sdsc.edu
http://www.sdsc.edu/srbhttp://www.sdsc.edu/srb
TopicsTopics
• 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
Types of Data ManagementTypes 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
Data Management EnvironmentsData 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
Generic InfrastructureGeneric 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
Types of Data ManagementTypes 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
Shared CollectionsShared 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, …
SRBserver
SRB agent
SRBserver
Federated Server ArchitectureFederated Server Architecture
MCAT
Read Application
SRB agent
1
2
34
6
5
Logical NameOr
Attribute Condition
1.Logical-to-Physical mapping2.Identification of Replicas3.Access & Audit Control
Peer-to-peer
Brokering
Server(s) SpawningData
Access
Parallel Data Access
R1R2
5/6
Generic InfrastructureGeneric 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
Southern California Earthquake CenterSouthern California Earthquake Center
SCEC Community
Library
Select Receiver (Lat/Lon)
OutputTime HistorySeismograms
Select ScenarioFault Model
Source Model
•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 LibrarySCEC Digital Library
Terashake Data HandlingTerashake 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
HumidityClimateEcologicalWirelessOceanography
Wind SpeedClimateEcologicalWirelessOceanography
SeismicGeophysics
ROADNet Sensor Network Data Integration
Fire startRain start
Frank Vernon - UCSD/SIOFrank Vernon - UCSD/SIO
National Science Digital LibraryNational 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
Worldwide University Network Data GridWorldwide 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
KEK Data GridKEK Data Grid
• Japan• Taiwan• South Korea• Australia• Poland• US
• A functioning, general purpose international Data Grid for high-energy physics
Manchester-SDSC mirror
BaBar High-energy PhysicsBaBar 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 dataMoved over 100 TBs of data
Astronomy Data GridAstronomy Data Grid
• Chile• Tucson, Arizona• NCSA, Illinois
• A functioning international Data Grid for Astronomy Manchester-SDSC mirror
Moved over 400,000 imagesMoved over 400,000 images
International Institutions (2005)International Institutions (2005)
Project InstitutionData mangement project British Antarctic Survey, UKeMinerals Cambridge e-Science Center, UKSickkids Hospital in Toronto CanadaWelsh e-Science Centre Cardiff University, UKAustralian Partnership for Advanced Computing Data Grid Victoria, Australia
Australian Partnership for Advanced Computing Data GridCommonwealth Scientific and Industrial Research Organization, Australia
Australian Partnership for Advanced Computing Data Grid University of Technology, AustraliaCenter for Advanced Studies, Research, and Development ItalyLIACS(Leiden Inst. Of Comp. Sci) Leiden University,The NetherlandsAustralian Partnership for Advanced Computing Data Grid Melbourne, AustraliaMonash E-Research Grid Monash University, AustraliaComputational Modelling University of Queensland, AustraliaVirtual Tissue Bank Osaka University, JapanCybermedia Center Osaka University, JapanBelfast e-Science Centre Queen's University, UKInformation Technology Department Sejong University, South KoreaNanyang Centre for Supercomputing SingaporeNational University (Biology data grid) SingaporeProtein structure prediction Taiwan University, Taiwan
Storage Resource Broker Collections at SDSC (8/2/2005)GBs of
datastored
Numberof files
Userswith
ACLsData Grid Ź Ź Ź
NSF/ITR - National Virtual Observatory 53,862 9,536,751 100NSF - National Partnership for Advanced Computational Infrastructure 36,149 7,539,180 380
Static collections Š Hayden planetarium 8,013 161,352 227
Pzone Š public collections 12,998 6,707,952 68
NSF/NPACI - Biology and Environmental collections 40,155 76,083 67
NSF/NPACI Š Joint Center for Structural Genomics 15,731 1,577,260 55
NSF - TeraGrid, ENZO Cosmology simulations 176,730 2,125,945 3,267
NIH - Biomedical Informatics Research Network 10,561 7,596,888 303
Digital Library Ź Ź Ź
NSF/NPACI - Long Term Ecological Reserve 256 9,033 36
NSF/NPACI - Grid Portal 2,620 53,048 460
NIH - Alliance for Cell Signaling microarray data 741 84,594 21
NSF - National Science Digital Library SIO Explorer collection 2,733 1,083,998 27
NSF/ITR - Southern California Earthquake Center 131,010 2,702,421 73
Persistent Archive Ź Ź Ź
NHPRC Persistent Archive Testbed (Kentucky, Ohio, Michigan, Minnesota) 100 382,186 28
UCSD Libraries archive 4,147 408,050 29
NARA- Research Prototype Persistent Archive 1,478 893,434 58
NSF - National Science Digital Library persistent archive 3,600 27,034,150 136
TOTAL 501 TB 68 million 5,335
Unix Shell
NT Browser,Kepler Actors
OAI,WSDL,(WSRF)
HTTP,DSpace,
OpenDAP,GridFTP
Archives - Tape,Sam-QFS, DMF,
HPSS, ADSM,UniTree, ADS
Databases -DB2, Oracle,
Sybase, Postgres, mySQL, Informix
File SystemsUnix, NT,Mac OSX
Application
ORB
Storage Repository AbstractionDatabase Abstraction
Databases -DB2, Oracle, Sybase,
Postgres, mySQL,Informix
CLibrary,
Java
Logical Name Space
LatencyManagement
DataTransport
MetadataTransport
Consistency & Metadata Management / Authorization, Authentication, Audit
Linux I/OC++
DLL /Python,
Perl, Windows
Federation Management
Storage Resource Broker 3.3.1Storage Resource Broker 3.3.1
SRB ObjectivesSRB 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
SRB DevelopersSRB Developers
Reagan Moore Reagan Moore - PI- PIMichael Wan Michael Wan - SRB Architect- SRB ArchitectArcot Rajasekar Arcot Rajasekar - SRB Manager- SRB ManagerWayne Schroeder Wayne Schroeder - SRB Productization- SRB ProductizationCharlie CowartCharlie Cowart - inQ- inQLucas Gilbert Lucas Gilbert - Jargon- JargonBing Zhu Bing Zhu - Perl, Python, Windows- Perl, Python, WindowsAntoine de Torcy Antoine de Torcy - mySRB web browser- mySRB web browserSheau-Yen Chen Sheau-Yen Chen - SRB Administration- SRB AdministrationGeorge KremenekGeorge Kremenek - SRB Collections- SRB CollectionsArun Jagatheesan Arun Jagatheesan - Matrix workflow- Matrix workflowMarcio Faerman Marcio Faerman - SCEC Application- SCEC ApplicationSifang Lu Sifang Lu - ROADnet Application- ROADnet ApplicationRichard Marciano Richard Marciano - SALT persistent archives- SALT persistent archives
75 FTE-years of support75 FTE-years of supportAbout 300,000 lines of CAbout 300,000 lines of C
HistoryHistory• 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
DevelopmentDevelopment
• 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)
SRB Latency ManagementSRB Latency Management
ReplicationServer-initiated I/O
StreamingParallel I/O
CachingClient-initiated I/O
Remote Proxies,Staging
Data AggregationContainers
SourceDestination
Prefetch
NetworkDestinationNetwork
Latency Management -Latency Management -Bulk OperationsBulk 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, …
Logical Name SpacesLogical Name Spaces
Storage Repository
• Storage location
• User name
• File name
• File context (creation date,…)
• Access constraints
Data Access Methods (C library, Unix, Web Browser)
Data access directly between
application and storage
repository using names
required by the local
repository
Logical Name SpacesLogical Name Spaces
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 Collection
Data Access Methods (C library, Unix, Web Browser)
Data is organized as a shared collection
Federation Between Data GridsFederation Between Data Grids
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
Types of Risk 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
How Many ReplicasHow 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
State of the Art TechnologyState 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.
For More InformationFor More Information
Reagan W. Moore
San Diego Supercomputer Center
moore@sdsc.edu
http://www.sdsc.edu/srb/
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