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The EU DataGrid - Introduction

The EU DataGrid - Introduction. The European DataGrid Project Team http://www.eu-datagrid.org/. Peter.Kunszt@cern.ch. Contents. The EDG Project scope Achievements EDG structure Middleware Workpackages: Goals, Achievements, Issues Testbed Release Plans. Glossary. RB Resource Broker

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The EU DataGrid - Introduction

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  1. The EU DataGrid - Introduction The European DataGrid Project Team http://www.eu-datagrid.org/ Peter.Kunszt@cern.ch

  2. Contents • The EDG Project scope • Achievements • EDG structure • Middleware Workpackages: Goals, Achievements, Issues • Testbed Release Plans

  3. Glossary • RB Resource Broker • VO Virtual Organisation • CE Computing Element • SE Storage Element • GDMP GRID Data Mirroring Package • LDAP Lightweighted Directory Access Protocol • LCFG Local Configuration System • LRMS Local Resource management system (Batch) (PBS, LSF) • WMS Workload Management System • LFN Logical File Name (like MyMu.dat) • SFN Site File Name ( like storageEl1.cern.ch:/home/data/MyMu.dat )

  4. The Grid vision • Flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resource • From “The Anatomy of the Grid: Enabling Scalable Virtual Organizations” • Enable communities (“virtual organizations”) to share geographically distributed resources as they pursue common goals -- assuming the absence of… • central location, • central control, • omniscience, • existing trust relationships.

  5. Grids: Elements of the Problem • Resource sharing • Computers, storage, sensors, networks, … • Sharing always conditional: issues of trust, policy, negotiation, payment, … • Coordinated problem solving • Beyond client-server: distributed data analysis, computation, collaboration, … • Dynamic, multi-institutional virtual orgs • Community overlays on classic org structures • Large or small, static or dynamic

  6. EDG overview : goals • DataGrid is a project funded by European Union whose objective is to exploit and build the next generation computing infrastructure providing intensive computation and analysis of shared large-scale databases. • Enable data intensive sciences by providing world wide Grid test beds to large distributed scientific organisations ( “Virtual Organisations, Vos”) • Start ( Kick off ) : Jan 1, 2001 End : Dec 31, 2003 • Applications/End Users Communities : HEP, Earth Observation, Biology • Specific Project Objetives: • Middleware for fabric & grid management • Large scale testbed • Production quality demonstrations • Collaborate and coordinate with other projects (Globus, Condor, CrossGrid, DataTAG, etc) • Contribute to Open Standards and international bodies ( GGF, Industry&Research forum)

  7. DataGrid Main Partners • CERN – International (Switzerland/France) • CNRS - France • ESA/ESRIN – International (Italy) • INFN - Italy • NIKHEF – The Netherlands • PPARC - UK

  8. Assistant Partners Industrial Partners • Datamat (Italy) • IBM-UK (UK) • CS-SI (France) Research and Academic Institutes • CESNET (Czech Republic) • Commissariat à l'énergie atomique (CEA) – France • Computer and Automation Research Institute,  Hungarian Academy of Sciences (MTA SZTAKI) • Consiglio Nazionale delle Ricerche (Italy) • Helsinki Institute of Physics – Finland • Institut de Fisica d'Altes Energies (IFAE) - Spain • Istituto Trentino di Cultura (IRST) – Italy • Konrad-Zuse-Zentrum für Informationstechnik Berlin - Germany • Royal Netherlands Meteorological Institute (KNMI) • Ruprecht-Karls-Universität Heidelberg - Germany • Stichting Academisch Rekencentrum Amsterdam (SARA) – Netherlands • Swedish Research Council - Sweden

  9. Project Schedule • Project started on 1/Jan/2001 • TestBed 0 (early 2001) • International test bed 0 infrastructure deployed • Globus 1 only - no EDG middleware • TestBed 1 ( now ) • First release of EU DataGrid software to defined users within the project: • HEP experiments (WP 8), Earth Observation (WP 9), Biomedical applications (WP 10) • Successful Project Review by EU: March 1st 2002 • TestBed 2 (October 2002) • Builds on TestBed 1 to extend facilities of DataGrid • TestBed 3 (March 2003) & 4 (September 2003) • Project stops on 31/Dec/2003

  10. EDG Highlights • The project is up and running! • All 21 partners are now contributing at contractual level • total of ~60 man years for first year • All EU deliverables (40, >2000 pages) submitted • in time for the review according to the contract technical annex • First test bed delivered with real production demos • All deliverables (code & documents) available via www.edg.org • http://eu-datagrid.web.cern.ch/eu-datagrid/Deliverables/default.htm • requirements, surveys, architecture, design, procedures, testbed analysis etc.

  11. DataGrid work packages • The EDG collaboration is structured in 12 Work Packages • WP1: Work Load Management System • WP2: Data Management • WP3: Grid Monitoring / Grid Information Systems • WP4: Fabric Management • WP5: Storage Element • WP6: Testbed and demonstrators – Production quality International Infrastructure • WP7: Network Monitoring • WP8: High Energy Physics Applications • WP9: Earth Observation • WP10: Biology • WP11: Dissemination • WP12: Management

  12. Collect requirements for middleware Take into account requirements from application groups Survey current technology For all middleware Core Services testbed Testbed 0: Globus (no EDG middleware) First Grid testbed release Testbed 1: first release of EDG middleware WP1: workload Job resource specification & scheduling WP2: data management Data access, migration & replication WP3: grid monitoring services Monitoring infrastructure, directories & presentation tools WP4: fabric management Framework for fabric configuration management & automatic sw installation WP5: mass storage management Common interface for Mass Storage Sys. WP7: network services Network services and monitoring Objectives for the first year of the project

  13. Apps Mware Globus DataGrid Architecture Local Application Local Database Local Computing Grid Grid Application Layer Data Management Metadata Management Object to File Mapping Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Book-keeping SQL Database Services Grid Fabric services Fabric Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management

  14. Local Application Local Database Application Developers Grid Application Layer Operating Systems System Managers Scientists Data Management Metadata Management Object to File Mapping CertificateAuthorities Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler FileSystems Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Book-keeping SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management UserAccounts BatchSystems PBS, LSF Storage Elements EDG Interfaces MassStorage Systems HPSS, Castor Computing Elements

  15. WP1: Work Load Management Local Application Local Database Grid Application Layer Data Management Metadata Management Object to File Mapping Job Management • Goals • Maximize use of resources by efficient scheduling of user jobs • Achievements • Analysis of work-load management system requirements & survey of existing mature implementations Globus & Condor (D1.1) • Definition of architecture for scheduling & res. mgmt. (D1.2) • Development of "super scheduling" component using application data and computing elements requirements • Issues • Integration with software from other WPs • Advanced job submission facilities Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Bookkeeping SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management Current components Job Description Language Resource Broker Job Submission Service Information Index User Interface Logging & Bookkeeping Service

  16. WP2: Data Management Local Application Local Database • Goals • Coherently manage and share petabyte-scale information volumes in high-throughput production-quality grid environments • Achievements • Survey of existing tools and technologies for data access and mass storage systems (D2.1) • Definition of architecture for data management (D2.2) • Deployment of Grid Data Mirroring Package (GDMP) in testbed 1 • Close collaboration with Globus, PPDG/GriPhyN & Condor • Working with GGF on standards • Issues • Security: clear mechanisms handling authentication and authorization Grid Application Layer Data Management Metadata Management Object to File Mapping Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Bookkeeping SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management Current components GDMP Replica Catalog Replica Manager Spitfire

  17. WP3: Grid Monitoring Services Local Application Local Database • Goals • Provide information system for discovering resources and monitoring status • Achievements • Survey of current technologies (D3.1) • Coordination of schemas in testbed 1 • Development of Ftree caching backend based on OpenLDAP (Light Weight Directory Access Protocol) to address shortcoming in MDS v1 • Design of Relational Grid Monitoring Architecture (R-GMA) (D3.2) – to be further developed with GGF • GRM and PROVE adapted to grid environments to support end-user application monitoring • Issues • MDS vs. R-GMA Grid Application Layer Data Management Metadata Management Object to File Mapping Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorizat ion Authentication and Accounting Logging & Book-keeping SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management Components MDS/Ftree R-GMA GRM/PROVE

  18. WP4: Fabric Management Local Application Local Database Grid Application Layer Data Management Metadata Management Object to File Mapping • Goals • manage clusters (~thousands) of nodes • Achievements • Survey of existing tools, techniques and protocols (D4.1) • Defined an agreed architecture for fabric management (D4.2) • Initial implementations deployed at several sites in testbed 1 • Issues • How to ensure the node configurations are consistent and handle updates to the software suites Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Book-keeping SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management Components LCFG PBS & LSF info providers Image installation Config. Cache Mgr

  19. Local Application Local Database Grid Application Layer Data Management Metadata Management Object to File Mapping Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Bookkeeping SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management WP5: Mass Storage Management • Goals • Provide common user and data export/import interfaces to existing local mass storage systems • Achievements • Review of Grid data systems, tape and disk storage systems and local file systems (D5.1) • Definition of Architecture and Design for DataGrid Storage Element (D5.2) • Collaboration with Globus on GridFTP/RFIO • Collaboration with PPDG on control API • First attempt at exchanging Hierarchical Storage Manager (HSM) tapes • Issues • Scope and requirements for storage element • Inter-working with other Grids Components • Storage Element info. providers • RFIO • MSS staging

  20. Local Application Local Database Grid Application Layer Data Management Metadata Management Object to File Mapping Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Bookkeepgin SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management WP7: Network Services • Goals • Review the network service requirements for DataGrid • Establish and manage the DataGrid network facilities • Monitor the traffic and performance of the network • Deal with the distributed security aspects • Achievements • Analysis of network requirements for testbed 1 & study of available network physical infrastructure (D7.1) • Use of European backbone GEANT since Dec. 2001 • Initial network monitoring architecture defined (D7.2) and first tools deployed in testbed 1 • Collaboration with Dante & DataTAG • Working with GGF (Grid High Performance Networks) & Globus (monitoring/MDS) • Issues • Resources for study of security issues • End-to-end performance for applications depend on a complex combination of components Components • network monitoring tools: • PingER • Udpmon • Iperf

  21. WP6 additions to Globus Globus EDG release WP6: TestBed Integration Local Application Local Database Grid Application Layer Data Management Metadata Management Object to File Mapping • Goals • Deploy testbeds for the end-to-end application experiments & demos • Integrate successive releases of the software components • Achievements • Integration of EDG sw release 1.0 and deployment • Working implementation of multiple Virtual Organisations (VOs) s & basic security infrastructure • Definition of acceptable usage contracts and creation of Certification Authorities group • Issues • Procedures for software integration • Test plan for software release • Support for production-style usage of the testbed Job Management Collective Services Information & Monitoring Replica Manager Grid Scheduler Underlying Grid Services Computing Element Services Storage Element Services Replica Catalog Authorization Authentication and Accounting Logging & Bookkeeping SQL Database Services Fabric services Monitoring and Fault Tolerance Node Installation & Management Fabric Storage Management Resource Management Configuration Management Components • Globus packaging & EDG config • Build tools • End-user documents

  22. Grid aspects covered by EDG testbed 1

  23. Tasks for the WP6 integration team • Testing and integration of the Globus package • Exact definition of RPM lists (components) for the various testbed machine profiles (CE service , RB, UI, SE service , NE, WN, ) – check dependencies • Perform preliminary centrally (CERN) managed tests on EDG m/w before green light for spread EDG testbed sites deployment • Provide, update end user documentation for installers/site managers, developers and end users • Define EDG release policies, coordinate the integration team staff with the various WorkPackage managers – keep high inter-coordination. • Assign the reported bugs to the corresponding developers/site managers (BugZilla) • Complete support for the iTeam testing VO

  24. EDG overview: Middleware release schedule • Planned intermediate release schedule • Release 1.1: January 2002 • Release 1.2: March 2002 • Release 1.3: May 2002 • Release 1.4: July 2002 • Similar schedule for 2003 • Each release includes • feedback from use of previous release by application groups • planned improvements/extension by middle-ware WPs • use of WP6 software infrastructure • feeds into architecture group July 1.1.3 Internal August

  25. Current release EDG 1.1.4 Deployed on testbed under RedHat 6.2 Finalising build of EDG 1.2 (now) GDMP 3.0 GSI-enabled RFIO client and server EDG 1.3 (internal) Build using autobuild tools – to ease future porting Support for MPI on single site EDG 1.4 (August) Support RH 6.2 & 7.2 Basic support for interactive jobs Integration of Condor DAGman Use MDS 2.2 with first GLUE schema EDG 2.0 (Oct) Still based on Globus 2.x (pre-OGSA) Use updated GLUE schema Job partitioning & check-pointing Advanced reservation/co-allocation Release Plan details See http://edms.cern.ch/document/333297 for further details

  26. EDG overview : testbed schedule • Planned intermediate testbed schedule • Testbed 0: March 2001 • Testbed 1: November 2001-January 2002 • Testbed 2: September-October 2002 • Testbed 3: March 2003 • Testbed 4: September-October 2003 • Number of EDG testbed sites permanently increasing : currently 9 sites are visible to the CERN resource broker • Each site normally implements, at least : • A central install & config server (LCFG server) • WMS (WP1) dedicated machines : UI, CE (g/k & worker node(s) ) • MDS Info Providers to the global EDG GIIS/GRIS • Network Monitoring

  27. Development & Production testbeds • Development • Initial set of 5 sites will keep small cluster of PCs for development purposes to test new versions of the software, configurations etc. • Production • More stable environment for use by application groups • more sites • more nodes per site (grow to meaningful size at major centres) • more users per VO • Usage already foreseen in Data Challenge schedules for LHC experiments • harmonize release schedules

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