Your SlideShare is downloading. ×
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
03-KeynoteSpeech-AlBunshaft(IBM).ppt
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

03-KeynoteSpeech-AlBunshaft(IBM).ppt

740

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
740
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
67
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • Another significant motivation for employing Grids is the need to reduce the time that it takes to complete a particular computation. Often this need is a critical part of the value proposition for a particular business function. (Click) For example if a particularly compute intensive task must be accomplished in a short span of time opportunities for parallel execution of parts of the calculation can be exploited to complete the job more quickly than if the entire calculation was performed serially. In fact in many cases sequential execution of the problem might take so long as to render the final result unusable. In other case advantages (click) may be gained by running a particular computation more often. For if example airline pricing and load management algorithms, which are fairly complex calculations, can be completed more rapidly they can be executed more often allowing the company to respond more rapidly to changing market conditions and better utilize its planes, personnel, and fuel resources.
  • Making OGSA a reality will take cooperation of the entire Grid community. (1 st Click) IBM, Globus and the Global Grid Forum (GGF) are working together to architect and standardize the OGSA “next generation” grid infrastructure. Globus and GGF contribute Grid software expertise and broad familiarity with the open grid community’s requirements to this collaboration. IBM provides strong experience developing open architecture for distributed systems and specifically has strong interest in web services, as well as our intent to bring the benefits of Grid computing to commercial computing environments. (2 nd Click) We are working with existing organizations and consortia like W-3-C, the I-E-T-F, and OASIS that are the stewards for important technical standards such as web services, SOAP, X-M-L, Public-Key Infrastructure and W-S-D-L, to extend existing standards and to make new proposals to meet the requirements that Grid computing adds to the distributed programming environment. (3 rd Click) Most importantly we will solicit the participation of software development partners that already have substantial expertise in delivering Grid infrastructure software both to help further refine the architecture definition and to move forward in the implementation of “core” OGSA components and the surrounding “value added” software that can enable creation of complete Grid solutions.
  • There is no one, right server platform. Multiple eServer products can work in the same situation. You have to assess price/performance, skills, synergy with other projects, and application portability when selecting a platform. The key is that all platforms are moving to Grid, and we will exploit the capabilities of each in our Grids.
  • Storage Tank is a strategic product being developed. GPFS is an existing product being enhanced. Both can work in some of the same situations. The key is to determine the best fit based on the types of file systems in the enterprise, the native support provided by each (GPFS is much more tightly aligned with pSeries and Linux, Storage Tank is more open), and the timeframe (GPFS is here now, Storage Tank is coming in late 2003). All products lead to Grid. Also – GPFS is already used in large Grid projects, like TeraGrid.
  • Storage Tank is a strategic product being developed. GPFS is an existing product being enhanced. Both can work in some of the same situations. The key is to determine the best fit based on the types of file systems in the enterprise, the native support provided by each (GPFS is much more tightly aligned with pSeries and Linux, Storage Tank is more open), and the timeframe (GPFS is here now, Storage Tank is coming in late 2003). All products lead to Grid. Also – GPFS is already used in large Grid projects, like TeraGrid.
  • Transcript

    • 1. Grid Computing and IBM’s On-Demand Strategy Albert J. Bunshaft Vice President Grid Sales and Business Development
    • 2. Goal: On Demand Business “ An enterprise whose business processes -- integrated end-to-end across the company and with key partners, suppliers and customers -- can respond with speed to any customer demand, market opportunity or external threat ” – Sam Palmisano, Oct 2002 = Profit Responsive Variable Focused Resilient
    • 3. On the Cusp of the On Demand Phase Source: e-business Adoption Tracking Study, 1Q02 0% 20% 40% 60% 80% 100% Total IT Market Co. Size 1,000+ IBM's Top 400 Cust. Enterprise Integration Access On Demand
    • 4. On Demand Operating Environment Open standards-based, heterogeneous, integrated and enabled with autonomic capabilities… Virtualized Autonomic Open Integrated Operating Environment Requirements Business Attributes Resilience around the world, around the clock Focus on core competencies / what’s differentiating Variable cost structures Responsive in real time
    • 5. Computing Model Evolution Mainframes “ The Glass House” Client-Server PC’s / LAN’s Network Computing The Internet
    • 6. Current IT Environment Distributed, Heterogeneous, Complex Gateway Hub Server Group Local Director Network Business Logic Presentation WebSphere Application Server Netscape Enterprise Server WebSphere Application Server JDBC HTTP MQ Profile Capture Database Servers Security Gateways DB2 Security Servers MQ MQ Application Logging Gateway Logging MQ MQ Security Client SNA SNA SNA Back-end Systems zSeries Complex IMS Data CICS zSeries Sysplex IMS Data zSeries Sysplex IMS Data zSeries Sysplex IMS Data zSeries TPF Front-end for Web presence for financial services Typical Financial Subsystem Configuration
    • 7. Current IT Environment Distributed, Heterogeneous, Complex Complexity, TCO Tech. Cost, Utilization Gateway Hub Server Group Local Director Network Business Logic Presentation WebSphere Application Server Netscape Enterprise Server WebSphere Application Server JDBC HTTP MQ Profile Capture Database Servers Security Gateways DB2 Security Servers MQ MQ Application Logging Gateway Logging MQ MQ Security Client SNA SNA SNA Back-end Systems zSeries Complex IMS Data CICS zSeries Sysplex IMS Data zSeries Sysplex IMS Data zSeries Sysplex IMS Data zSeries TPF Front-end for Web presence for financial services Typical Financial Subsystem Configuration
    • 8. Server / Storage Utilization 52% N/A N/A Storage 2-5% 5-10% 30% Intel-based <10% 10-15% 50-70% UNIX 60% 70% 85-100% Mainframes 24-hour Period Utilization Prime-shift Utilization Peak-hour Utilization Source: IBM Scorpion White Paper: Simplifying the Corporate IT Infrastructure, 2000
    • 9. Untapped Potential Value is expressed relative to the ASCI White Supercomputer (12.3 Teraflops) * * Cost of one ASCI White Supercomputer= $110M
    • 10. Total Cost of Ownership Hardware 10.0% Software 12.0% Personnel 16.0% Maintenance 30.0% IT Budgets Hardware Software Personnel Maintenance Integration 32% 30% Much More than Hardware and Software Costs 16% Personnel 16.0% Integration 32.0% Integration 32.0%
    • 11. Traditional Computing Processing Operating System Storage I/O Data Applications
    • 12. Virtualized Computing Virtual Computing Resources
    • 13. Grid Computing Storage Applications Processing Operating System Data I/O Distributed Computing Over a Network, Using Open Standards to Enable Heterogeneous Operations
    • 14. Grid Technology Enables
      • Increased Server Utilization
        • Workload Management and Consolidation
        • Reduced Cycle Times
      • Collaboration and Access to Data
        • Federation of Data
        • Global Distribution
      • Resilient / Highly Available Infrastructure
        • Business Continuity
        • Recovery and Failover
      Supporting Heterogeneous Resources Through Open Standards….
    • 15. Increased Server Utilization
      • Exploit distributed resources to provide capacity for high-demand applications
        • Existing applications that cannot be run effectively on a single processor
        • New large scale application that provide strategic business advantages
      • Reduce infrastructure cost associated with over-provisioned resources
        • Balance workload based on policies
        • Optimize for cost or throughput
      • Reduce the cost of manpower to manage and configure resources
        • Fewer resources to manage for the same workload
    • 16. Collaboration and Access to Data
      • Enable collaboration across applications to integrate results
        • Leverage Distributed Data and Resources
      • Support large multi-disciplinary collaborations
        • Link Business Processes
        • Federation of Data
      • Both within a single organization and between partners
        • Exploit Replication Services Across Enterprises
      Simulation Pricing Design Design Design Analytics
    • 17.
      • Use distributed resources to balance workload
        • Scheduler manages job distribution
        • Failover and recovery leverage distributed resources
        • Schedulers uses policies and priorities to determine how to meet goals
      Resilient / Highly Available Infrastructure Job Scheduler JOB 1 JOB 2 JOB 3 JOB 1 Recovery / Restart 1 12 2 3 4 5 6 7 8 9 10 11
    • 18. The Value of Open Standards Networking: The Internet (TCP/IP) Communications: e-mail (pop3,SMTP,Mime) Information: World-wide Web (html, http, j2ee, xml) Applications: Web Services (SOAP, WSDL, UDDI) Distributed Computing: Grid (Globus -> OGSA) Operating System: Linux
    • 19. The Value of Standard TCP/IP TCP/IP
    • 20. Grid Middleware Today Grid Middleware
    • 21. Open Grid Services Architecture (OGSA) OGSA “ The TCP/IP of Grid Computing” OGSA Enabled OGSA Enabled OGSA Enabled OGSA Enabled OGSA Enabled OGSA
    • 22. Professional Services OGSI – Open Grid Services Infrastructure Grid Services System Management Sevices Open Grid Services Architecture (OGSA) Applications Autonomic Capabilities Architecture Framework OGSA Structure Network OGSA Enabled Storage OGSA Enabled Servers OGSA Enabled Messaging OGSA Enabled Directory OGSA Enabled File Systems OGSA Enabled Database OGSA Enabled Workflow OGSA Enabled Security OGSA Enabled Web Services
    • 23. Architecture Framework Professional Services OGSI – Open Grid Services Infrastructure Grid Services System Management Sevices Applications Autonomic Capabilities OGSA Structure Network OGSA Enabled Storage OGSA Enabled Servers OGSA Enabled Messaging OGSA Enabled Directory OGSA Enabled File Systems OGSA Enabled Database OGSA Enabled Workflow OGSA Enabled Security OGSA Enabled Web Services General Middleware Web Services OGSI – Open Grid Services Infrastructure Grid Services System Management Services Web Services OGSI – Open Grid Services Infrastructure Grid Services System Management Services
    • 24.
      • Exploits existing web services properties
        • Interface abstraction (WSDL)
        • Protocol, language, hosting platform independence
      • Enhancement to web services
        • State Management
        • Event Notification
        • Referenceable Handles
        • Lifecycle Management
        • Service Data Extension
      OGSA Structure – OGSI Architecture Framework HandleMap Notification Factory Management Registry Lifecycle Discovery OGSI – Open Grid Services Infrastructure Grid Services System Management Services Web Services
    • 25. Architecture Framework HandleMap Notification Factory Management Registry Lifecycle Discovery OGSI – Open Grid Services Infrastructure Grid Services System Management Services OGSA Structure – Open Hosting Web Services
      • Open source
      • Reference implementation
      Hosting platform (Java) Other Possible Hosting Platforms (environments) Python Globus (C/C++) Microsoft (C#)
    • 26. Architecture Framework HandleMap Notification Factory Management Registry Lifecycle Discovery OGSI – Open Grid Services Infrastructure Service Collections Job Scheduling File Transfer Data Replication Provisioning Logging Problem Determination Resource Management Cluster Management Policy OGSA Structure – Software Evolution Grid Services System Management Services Web Services Globus Toolkit 3
    • 27. Architecture Framework Service Collections Job Scheduling File Transfer Data Replication Provisioning Logging Problem Determination Resource Management Cluster Management Policy OGSA Structure – Software Evolution Grid Services System Management Services Websphere Application Server Globus Toolkit 3 Websphere OGSI
      • Value-added Grid Middleware and management applications
      Tivoli
      • Open architecture for “Grid Services”
      • Some “open source” reference implementations
      • Vendor provider “value added” implementations
      WebSphere
    • 28. Architecture Framework OGSA IBM Global Services Products and Services for Grids OGSA Enabled OGSA Enabled OGSA Enabled Messaging OGSA Enabled Directory OGSA Enabled File Systems OGSA Enabled Database OGSA Enabled Workflow OGSA Enabled Security OGSA Enabled OGSI – Open Grid Services Infrastructure Grid Services System Management Sevices Autonomic Capabilities
    • 29. The Path to Standardization
      • IBM working with Globus / GGF on OGSA
      • Work within other standards bodies to define new or extend existing standards to support required distributed services
      • Accelerate delivery through partners
    • 30. The Path to Standardization
      • Activities:
        • Extending existing standards to support Grid requirements
          • XML, SOAP, WSDL/EL, Web services security etc.
        • Globus /GGF partners to complete architecture of core components
          • OGSI Specification Finalized (January)
          • Technology Demonstration later this year (January)
          • Alpha version mid-2003
        • Working with software vendors
          • To migrate current offerings to architecture framework
          • Provide value added implementations of OGSA services including:
            • Workload management
            • Cluster management
            • Automation
            • Data Replication
    • 31. What Makes Up a Grid? Storage Data Applications Processing I/O Operating System IBM Solutions for Grid Computing Autonomic Computing Professional Services TotalStorage, GPFS DB2 WebSphere eServer MQSeries Tivoli
    • 32.
      • WebSphere is the Web Services Engine
        • OGSA will Run on WebSphere, Integrated into Websphere
      • WebSphere Enhancements Make Grids Better
        • Service Desk for Web Service Failover, Scaling
        • Service Bus for Internal Communications
        • WS Security
        • Allegro for Web Service Provisioning
      • Websphere with OGSA Will Be Integrated into IBM Server and Storage Platforms
      • MQ Series for Robust Messaging, Message Hubs
      IBM Grid Products - WebSphere
    • 33.
      • Tivoli is the Systems Management Platform for IBM’s Grid solutions
      • Autonomic Services Will be Delivered Through Tivoli
        • eAutomation for Dynamic Setup and Configuration of Resources
        • eUtility to Build On Demand Services
        • eDisaster Recovery to Manage Business Continuity
        • eWorkload Management
      • OGSA is the Foundation for Tivoli’s Autonomic Products
      IBM Grid Products - Tivoli
    • 34.
      • DB2 Data Management Software Provides Information Virtualization (Data Grid)
        • Federated DB2 Tools Provide Integration of Multiple Data Sources, Types, Products
        • Query Optimization Improves Performance in Federated Model
        • Virtual Information Systems Makes Applications More Flexible
        • Replication Services Improve Resiliency and Performance
      • Future Enhancements to DB2 Build Upon Data Grid Capabilities
        • OGSA Enablement, Wrappers for Other Grid Products
        • Increased Scattering, Replication, and Redundancy Capabilities
      IBM Grid Products - DB2 Data Management Software
    • 35.
      • eServer Products are All Being OGSA Enabled
      • Each eServer Platform Provides Unique Grid Value
        • Linux Available Across all Platforms
        • xSeries for Intel workloads, dense Blade packaging
        • pSeries for RISC workloads, scalability, partitioning, workload management
        • iSeries for OS/400 workloads, scalability, robustness, partitioning
        • zSeries for robustness, dynamic partitioning, workload management, usage-based charging
      • All eServer Platforms Provide a Path to Grid
        • OGSA to be Packaged with All Platforms
        • Leveraging WebSphere Cross Platform Capabilities
      IBM Grid Products - server server
    • 36.
      • TotalStorage Solutions Provide Foundation for Data Grids
        • StorageTank for Heterogeneous File Systems
        • General Parallel File Systems (GPFS) for High Performance File Systems
        • SHARK and FAStT for Storage Area Network Solutions
      • Virtualization of Storage
        • Drives higher storage efficiency
        • Simplifies data access
        • Increases resiliency
      • Storage Enables Grid Applications and Collaboration
      IBM Grid Products – TotalStorage
    • 37. IBM Grid Products – IBM Global Services
      • Business Consulting Services
        • e-Business Strategy
        • Buy/Supply/Sell/Support
        • Enterprise Resources
        • e-Business Integration
      • Integrated Technology Services
        • e-Business Infrastructure
        • Networking & Connectivity
        • Infrastructure and Systems Management
        • Business Continuity and Recovery
        • Technical Support
      • Strategic Outsourcing Services
        • Outsourcing for Non-Core Processes
        • Manufacturing, Banking, Gov’t Agencies, etc.
      • e-Business Hosting Services
        • Offering product-like, standardized offerings
        • Foundation for e-Business on Demand
      • Learning Services
        • Developing and delivering training solutions
        • Comprising IBM and non-IBM components
        • Focusing on IT, professional, and management development
      IBM Global Services
    • 38. Grid Adoption Curve Early Adopters Mainstream . Retail/Dist Small/Med Business Core-business Government ● Supercomputing, Universities Life Sciences & Healthcare ● ● Corporate Research, Manufacturing, Pharmaceuticals Financial Services ● ● Service Provider Emerging xSPs ● P2P, SETI, Globus ● Industry Acceptance High Performance Computing Applications Commercial Applications 1999 2003 2004 2005 2006 2001 2002 2000
    • 39. Grid Computing Addresses Business and IT
      • Business Needs
        • Improve operating efficiency
        • Reduced capital expenses
        • Accelerate business processes
        • Improve enterprise collaboration
        • Adapt to unpredictable demand cycles
      • IT Needs
        • Unlock value of existing IT
        • Technology Refresh
        • Faster computations
        • Integrate heterogeneous resources
        • Improve redundancy and resiliency
        • Respond to surges in IT demand
      • Business Needs
        • Improve operating efficiency
        • Reduced capital expenses
        • Accelerate business processes
        • Improve enterprise collaboration
        • Adapt to unpredictable demand cycles
      • IT Needs
        • Unlock value of existing IT
        • Technology Refresh
        • Faster computations
        • Integrate heterogeneous resources
        • Improve redundancy and resiliency
        • Respond to surges in IT demand
    • 40. Industry Applications Unique by Industry with Common Characteristics Primary Focus Energy Financial Services Manufacturing LS/ Bioinformatics Telco & Media Gov’t & Education Grid Infrastructure Derivatives Analysis Statistical Analysis Portfolio Risk Analysis Batch Throughput Product Design Process Simulation Finite Element Analysis Failure Analysis Cancer Research Drug Discovery Protein Folding Protein Sequencing Collaborative Research Weather Analysis HPC Seismic Analysis Reservoir Analysis Bandwidth Consumption Digital Rendering Multiplayer Gaming
    • 41. Grid Application Focus Areas Backup / Resiliency Grid
      • Leverages existing computing and data assets to efficiently meet unexpected surges in systems usage, meet redundancy requirements and improve business continuity
      Business Intelligence / Analytical Grid
      • Faster and more comprehensive business planning and analysis through the sharing of data and computing power (e.g. actuarial analysis, customer segmentation, portfolio analysis and modeling , marketplace simulations, etc.)
      Engineering / Product Design Grid
      • Enables the sharing of data and computing power, for computing intensive engineering and scientific applications, to accelerate product design (e.g. rendering, product simulations, etc.)
      Globalization Grid
      • Provides significant levels of computing and data infrastructure to remote, lesser developed and/or recently “acquired” parts of your business by leveraging existing resources (e.g. M&A, Geo expansion, etc.)
      Research & Development Grid
      • Accelerates and enhances the discovery process by enabling the sharing data and computing power seamlessly for research intensive applications (e.g. drug discovery, etc.)
    • 42. Scientific Grid Examples UK Research Grid
      • Collaborative, scientific research
      The Tera Grid
      • Most powerful, heterogeneous Grid
      National Digital Mammographic Archive
      • UPenn
      • Medical and diagnostic content
      Indiana Virtual Machine
      • Purdue and Indiana University
      • 1.4 teraflops
      • Ultra-large calculations
      • Simulating homeland security
      #1
    • 43. Commercial Examples John Deere
      • IBM DB2 DataJoiner
      • VLDB Award Largest ‘federated’ database
      • 2.5 Billion Records
      • DB2, Oracle, MS SQL
      Financial Services
      • Linux based Grid
      • Blade, Grid, Utility technology
      • Credit Derivatives, Risk Management, Interest Rate Derivative Analysis
      IBM Chip and Server Design Aventis
      • IBM DiscoveryLink
      • Drug discovery collaboration
      • Diverse, highly distributed
      • 120TB of WW File Sharing & Collaboration
      • Thousands of Unix servers
      distributing workload
    • 44. Evolutionary Paths of Computing Computing Utilities Grid Autonomic business on demand Manual Infrastructure Set Up Automated Infrastructure Set Up Servers/Storage Utilities Application Utilities Business Process Utilties Standalone Servers Multiprocessor Servers Clusters, Blades Virtual Servers Intragrids Multi-enterprise Grids Extra and Intergrids Manual analysis and problem solving Centralized tools, manual actions Cross-reference correlation and guidance System monitors, correlates and takes action Dynamic business- policy-based management TM Enterprise Integration Access
    • 45. Accounting & Service Level Agreements Heterogeneous Workload Management End-to-End Systems Management Governance & Policy Standards Security Autonomic Functionality Disaster Recovery Enterprise Quality of Service Across the Grid Commercializing the Grid - Considerations
    • 46. On Demand Operating Environment Reduced Complexity Quality of Service Increased Productivity Make vs. Buy Options Variable Cost Flexibility Realized Value of Grid Computing
    • 47. Summary & Next Steps
      • Grid is evolving very rapidly
      • Academia, Scientific & Technical communities leading, but quickly moving to commercial customers
      • OGSA & Web Services are the standards of choice
      • Korean community actively involved in WW and AP efforts
      • Next Steps messages:
        • Education: IBM Learning Services
        • Join in: www.globus.org & www.ggf.org
        • Keep up to date: www.ibm.com/grid
        • Start a project….jump in

    ×