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The Evolving Computing Model:

The Evolving Computing Model:. Michel Teyssedre. VP Strategic Business Development iGRID September 2002, Amsterdam. The Vision. The Internet - mid ‘90’s. Information:. World Wide Web. Communications:. e-mail. Networking:. TCP/IP. Current IT Environment.

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The Evolving Computing Model:

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  1. The Evolving Computing Model: Michel Teyssedre VP Strategic Business Development iGRID September 2002, Amsterdam

  2. The Vision

  3. The Internet - mid ‘90’s . . . . Information: World Wide Web Communications: e-mail Networking: TCP/IP

  4. Current IT Environment Distributed , Heterogeneous, Complex Middleware Directory and Security Servers Transaction Servers Customers Business Partners Network Quality of Service Web Presentation Servers Web Application Servers Data Servers Suppliers Employees Storage

  5. The Management Problem Gartner 6/2001: "Considering current technologies, we expect that the total number of device administrators will exceed 220 millions by 2010."

  6. Internet Evolution Distributed Computing: Grid Information: World Wide Web Communications: e-mail Networking: TCP/IP

  7. Grid Computing Distributed Computing Over the Internet Using Open Standards • An aggregation of geographically dispersed computing resources, coordinated to deliver improved quality of service and high utilization • Virtual, collaborative organizations sharing applications and data in an open heterogeneous environment Virtual Servers, Storage and Instruments Grid Middleware Distributed Physical Servers and Storage

  8. Enterprise Computing Operating System I/O Data Storage Applications Processing

  9. Enterprise Computing

  10. Enterprise Computing Virtualization of Resources Storage Operating System I/O Data Processing Applications • Virtual Organization: Productivity • Virtual Infrastructure: Efficiency • Virtual O/S: Quality of Service

  11. Grids Enable • Management of Resources - Optimization & Quality of Service • Sharing of Resources - Collaboration & Virtual Organizations • Access to Resources - On Demand Computing and Utility Models

  12. The Architecture

  13. Open Grid Service Architecture Value what one wants to build VALUE-ADD RAS , Failover, Data Replication what one needs to build Abstract resource models, dynamic discovery and access Security and Policy Robust runtime environment Management of Iifecycle and distributed state

  14. Grid Integrated Component Stack Processing Data Resiliency On-Demand Grid Infrastructure Distributed Computing Over the Internet, or Private Intranets, Using Open Standards

  15. Grid Integrated Component Stack Processing Data Resiliency On-Demand Grid Infrastructure GLOBUS Open Standards, Open Source Community, ANL / USC

  16. Grid Integrated Component Stack Processing Data Resiliency On-Demand Grid Infrastructure Open Grid Services Architecture (OGSA) GLOBUS + Web Services

  17. Grid Integrated Component Stack Processing Data Resiliency On-Demand Grid Infrastructure Open Grid Services Architecture (OGSA) Web Services

  18. Grid Integrated Component Stack Processing Data Resiliency On-Demand Balance Infrastructure Needs & Cost w/Grid Secure Access to Distributed Data Unlock Infrastructure Value w/Autonomic Deploy New Capabilities • e-business on • demand • Compute Utility • Make vs. Buy • Variable vs. Fixed • Utilization • Collaboration • Productivity • Collaboration • QoS • Distributed • Self-managing • QoS • Resiliency Processing / Data Services Meta OS Services Utility Services Grid Infrastructure Open Grid Services Architecture (OGSA) Web Services

  19. Strategic IBM Grid Framework Customer Applications • OGSA provides the Open-Source Grid Middleware • Delivered using J2EE running on WebSphere • All IBM hardware platforms enabled for OGSA • Autonomic services enhance Grid capabilities • DB2 provides Data Grid capabilities • Customer solutions built using key IBM technologies Autonomic - Tivoli ISV Solutions WebSphere App Server Database - DB2 OGSA Web Services / J2EE - WebSphere Run-Time Industry Platforms eServer TotalStorage

  20. Open Grid Services Architecture S&TC xSP etc... eCommerce End-Users & Admin Staff New classes of applications enabled Common GUI eLiza Autonomic Functions & Management Middleware Open Grid Services Architecture WebServices Run-time IBM Platforms QoS Enablers/Optimizers Solaris & HP/UX Linux Windows ... z/OS AIX OS/400 Linux Windows Storage iSeries z,p,i,xSeries xSeries pSeries zSeries Sun & HP Dell Compaq ... Dell Compaq ... eServer Foundation

  21. Architecture framework OGSA

  22. Architecture Framework OGSA

  23. Architecture Framework OGSA

  24. The Deliverables

  25. IBM contributions to OGSA

  26. IBM Grid Toolbox Globus 2.0 for AIX and Linux • A jump-start for Grid • Improved packaging and installation: • AIX installp format • Linux RPM format • Enhanced post install configuration tools • Gather data and look for existing certificates • Generate certificate requests if required • Acquire certificates • Install certificates • Setup grid services and users • Verify installation

  27. Grid Deployment Options A function of business need, technology and organizational flexibility Intra-Grids NAS/SAN NAS/SAN

  28. Grid Deployment Options A function of business need, technology and organizational flexibility Extra-Grids Intra-Grids VPN NAS/SAN NAS/SAN NAS/SAN

  29. Grid Deployment Options A function of business need, technology and organizational flexibility Inter-Grids Extra-Grids Intra-Grids Cactus (SF) Express Project NTG VPN NAS/SAN NAS/SAN NAS/SAN Fin. Services MFG

  30. Grid Adoption Directions

  31. Areas of Customer Interest Manufacturing Financial Services Mechanical/ Electric Design Process Simulation Finite Element Analysis Failure Analysis LS/ Bioinformatics Gov't & Education Collaborative Research Weather Analysis HPC Cancer Research Protein Folding Drug Discovery Protein Sequencing Derivative Analysis Statistical Analysis Portfolio Risk Analysis Energy Telco & Media Bandwidth Consumption Seismic Analysis Reservoir Analysis Digital Rendering Gaming Grid Infrastructure Primary Focus

  32. Examples

  33. Early Adopters e-Science Grids ...Over the Internet • UK National Grid • Netherlands National Grid • The TeraGrid • University of Pennsylvania • North Carolina BioGrid • Department of Energy • Science Grid Grid Infrastructure

  34. The TeraGrid • Heterogeneous Systems: • National Center for • Supercomputing Applications • San Diego Supercomputing Center • Argonne National Laboratory • California Institute of Technology 13.6 trillion floating point operations per second 600 terabytes of data 40 gigabits per second Accessible to thousands of scientists working on advanced research

  35. UK Research Grid • Collaborative, multidisciplinary, scientific research • Test bed for utility • computing • Future commercial • applications EU Edinburgh US Sites CERN Glasgow Newcastle Belfast Manchester Dublin Cambridge Oxford Cardiff Southampton London

  36. National Digital Mammographic Archive An Archive and Data Utility for Medical and Diagnostic Content U Toronto CANet*2 New York GigaPop U CHI MAGPI MREN STARTAP Chicago Peering Point NGIX U Penn Indianapolis GigaPop Abilene Peer Network U NC Abilene Connector Oak Ridge ESNet Project Site SOX NCNI Atlanta GigaPop

  37. Indiana Virtual Machine • Purdue and Indiana University Supercomputers • 1.4 teraflops • High-speed optical fiber network • Sharing cycles and capacity • Ultra-large calculations • Simulating consumer • behavior • Simulating homeland security

  38. Butterfly.net • Unlimited Numbers of Players • Distributed Artificial Intelligence • Multiple Concurrent Players • 1,000 downloads of developer’s • kit per week • Hot-swappable Components • Developers, Publishers, ESPs

  39. Commercial Grid Computing Drivers • Maximize utilization of existing resources • Simplify operating environment • Improve availability & productivity • Enable collaboration & virtual organizations • Enhance & promote flexibility ....and enabled by Self-managing Technologies

  40. Key issues

  41. Commercializing the Grid - Considerations Enterprise Quality of Service Across the Grid Security Governance & Policy Standards Heterogeneous Workload Management Autonomic Functionality Disaster Recovery Accounting & Service Level Agreements End-to-End Systems Management

  42. Towards Autonomic Computing Self-configuring Self-optimizing • Build an open, integrated infrastructure • Open Grid Services Architecture • Access and Share the infrastructure • Grid Computing • Managethe infrastructure • Autonomic Computing Self-protecting Self-healing

  43. Project eLiza eServer Foundation Self-Optimizing - Dynamic Service Level Attainment Self-Healing - Business Continuance • zSeries - Intelligent Resource Director, Policy Agents, Message Response Automation, ... • iSeries -Autotuning Work Management, IP Network QoS, ... • pSeries - Workload Manager, Bandwidth Mgmt QoS, RSCT Monitor/Action,... • xSeries - Process Control, Capacity Mgr Res. Bottleneck ID/Correction, ... • Linux - RSCT and PSSP Technology • zSeries - Hot-swap Storage, Hot Microcode patch, ... • iSeries - Universal Connection, Memory deallocation, Hot- swap Storage, Autotuning Work Mgmt, ... • pSeries - Memory deallocation, Workload Manager, Memory Scrubbing, Auto Reboot Recovery, CPU and Repeat Guard, ... • xSeries - Health Monitoring and Software Rejuvenation, Auto Server Restart, Lightpath Diag., Process Control, ... Self-Configuring - define "on the fly" Self-Protecting - safeguard assets • zSeries - msys Setup, zOS Wizards, ... • iSeries - Security Wizard, Management Central Pervasive, Hardware/Software VPD, ... • pSeries - SNAP rack-mounted configuration, Dynamic Install/Config on devices at • boot time, ... • xSeries - Auto Discovery/Update on firmware and BIOS, Auto Discovery/Config on H/W ... • zSeries - Secure Sockets Layer, Hardware Encryption, Intrusion Detection, ... • iSeries - Object-based Kernal, Auxiliary Storage Pools, Program Signing, ... • pSeries - Secure Sockets Layer, Hardware Encryption, Intrusion Detection, Secure Storage & Directory, ... • xSeries - Hardware Encryption, • RAID Storage ... • Linux - Secure Sockets Layer

  44. On Demand Computing Realized Value Variable Cost Flexibility Quality of Service Make vs. Buy Option Reduced Complexity Greater Productivity

  45. The Evolving Computing Model: Michel Teyssedre VP Strategic Business Development

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