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Globus and Service Oriented Architecture

Globus and Service Oriented Architecture. Ian Foster Computation Institute Argonne National Lab & University of Chicago. My Visits to China. 2000: HPC Asia, Beijing 2001: CHEP, Beijing 2004: GCC, Wuhan (& Shanghai) 2005: Grid projects, Beijing 2005: CI6016, GCC, Beijing

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Globus and Service Oriented Architecture

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  1. Globus and Service Oriented Architecture Ian Foster Computation Institute Argonne National Lab & University of Chicago

  2. My Visits to China • 2000: HPC Asia, Beijing • 2001: CHEP, Beijing • 2004: GCC, Wuhan (& Shanghai) • 2005: Grid projects, Beijing • 2005: CI6016, GCC, Beijing • 2006: GCC, Changsha • 2006: WI-AT, Hong Kong • 2007: GCC, Urumchi, Xinjiang • http://vega.ict.ac.cn/gcc2007

  3. Collaborations Include … • China Grid, China National Grid, CROWN Grid, Shanghai Grid, etc. all build on Globus • Many fruitful discussions (should be more!) • Globus contributions from China, e.g. • Dynamic service deployment (Li Qi et al.) • OGSA-DAI components • Visitors hosted at Argonne and Chicago • From one day to one year duration • Grid Service Markup Language (GSML) • Focus of Haiyan Yu (CAS) visit at present

  4. Globus.Org: November 2006 > ~100accesses

  5. Project focused, globally distributed teams, spanning organizations within and beyond company boundaries Collaborative and Dynamic Each team member/group brings own data, compute, & other resources into the project Distributed and Heterogeneous Access to computing and data resources must be coordinated across the collaboration Data & Computation Intensive Resources must be available to projects with strong QoS, & also reflect enterprise-wide biz priorities Concurrent Innovation Cycles Why Grid (and Globus)? —The Changing Nature of Work IT must adapt to this new reality

  6. Service-Oriented Science People create services (data or functions) … which I discover (& decide whether to trust) … & compose to create a new function ... and then publish as a new service.  I find “someone else” to host services, so I don’t have to become an expert in operatingservices & computers!  I hope that this “someone else” can manage security, reliability, scalability, … ! ! “Service-Oriented Science”, Science, 2005

  7. Tool Tool Workflow Uniform interfaces, security mechanisms, Web service transport, monitoring Registry Credent. DAIS GRAM User Svc User Svc GridFTP Host Env Host Env Approach: Bridging the Application-Resource Gap User App Specialized resources Storage Computers

  8. Globus Toolkit: Open Source Grid Infrastructure Globus Toolkit v4 www.globus.org Data Replication CredentialMgmt Replica Location Grid Telecontrol Protocol Delegation Data Access & Integration Community Scheduling Framework WebMDS Python Runtime Reliable File Transfer CommunityAuthorization Workspace Management Trigger C Runtime Authentication Authorization GridFTP Grid Resource Allocation & Management Index Java Runtime Security Data Mgmt Execution Mgmt Info Services CommonRuntime I. Foster, Globus Toolkit Version 4: Software for Service-Oriented Systems, JCST 21(4), 2006

  9. http://dev.globus.org Guidelines(Apache) Infrastructure(CVS, email,bugzilla, Wiki) Projects Include … dev.globus — Community Driven Improvement of Globus Software, NSF OCI

  10. What GT4 Lets You Do(An Incomplete List) • Build secure & stateful Web services • Web Services core, service authoring tools • Configure distributed authorization structures • Powerful standards-based security tools • Deploy services/run jobs on remote systems • GRAM, virtual workspace, dynamic services • Move data fast & reliably among many sites • GridFTP, RFT, RLS, DRS • Discover and monitor services & resources • MDS

  11. Creating Services:E.g.,Introduce Authoring Tool • Define service • Create skeleton • Discover types • Add operations • Configure security • Modify service  targets GT4 New GT4 servicescreated in five minutes … Introduce: Hastings, Saltz, et al., Ohio State University

  12. User Applications GT4 & Web Services Custom Services Custom WSRF Services GT4WSRF Web Services Registry & Admin GT4 Container(e.g., Apache Axis) WS-A, WSRF, WS-Notification WSDL, SOAP, WS-Security

  13. “server-pull” Shib/SAML Attr Svc authZ SAML/XACML (Permis, CAS) Attribute validation and normalization Attribute-based authZ processing Dynamic PDP-instance creation Delegation of rights resolution Decision-chains rooted at rsrc owner “client-push” authZ SAML (CAS) X509 AC (VOMS) SOAP header or proxycert GT4’s New AuthZ Framework

  14. Examples of Globus-BasedProduction Scientific Grids • APAC (Australia) • China Grid • China National Grid • CROWN Grid • DGrid (Germany) • EGEE • Open Science Grid • Taiwan Grid • TeraGrid • ThaiGrid • UK Natl Grid Service

  15. Example:Earth System Grid • Climate simulation data • Per-collection control • Different user classes • Server-side processing • Implementation (GT) • Portal-based User Registration (PURSE) • PKI, SAML assertions • GridFTP, GRAM, SRM • >4000 users • >100 TB downloaded www.earthsystemgrid.org — DOE OASCR

  16. Under the Covers

  17. Service-Oriented Science& Cancer Biology caBIG: sharing of infrastructure, applications, and data. Data Integration!

  18. Gene Database caArray Protein Database Grid Services Infrastructure (Metadata, Registry, Query, Invocation, Security, etc.) Image Microarray Tool 2 Tool 3 Cancer Bioinformatics Grid Grid-Enabled Client Analytical Service Tool 1 Tool 2 Research Center NCICB Grid Data Service Tool 3 Tool 4 Grid Portal Research Center All Globus-based

  19. caBIG’s Identifier & Data Service Data Model fully incorporates Identifiers >100 Million Object+IDs (re-)generated Integration through simple Java API Works with existingCQL/SQL/XPATH Query Tools WS-Naming Resolution WS-Transfer GET Global Naming&Resolution Through Handle System

  20. Data Service @ uchicago.edu <BPEL Workflow Doc> <Workflow Inputs> BPEL Engine link <Workflow Results> Composing Services:E.g., BPEL Workflow System link Analytic service @ duke.edu link link Analytic service @ osu.edu caBiG: https://cabig.nci.nih.gov/; BPEL work: Ravi Madduri et al.

  21. Opportunitiesfor Future Collaboration • Develop the technology & methodologies required for successful eScience applications • Train students skilled in eScience and international collaboration • Work together on the major scientific and engineering challenges of the 21st Century • Clean energy • Global change & environmental impacts • Health and biomedicine

  22. Thanks! • DOE Office of Science • NSF Office of Cyberinfrastructure • Colleagues at Argonne, U.Chicago, USC/ISI, and elsewhere • Participants in Globus, CEDPS, ESG, OSG, caBIG, TeraGrid, and other projects

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