Grid computing utilizes virtualization and clustering techniques to consolidate workloads, enabling pay-as-you-go scaling and automated management. This reduces capital and operating expenses while improving quality of service, user productivity, and staff efficiency. Oracle provides a complete grid stack across all tiers from database to storage to middleware to management.

2. Grid Economics for the Data Center George Demarest Senior Director, Technology Product Marketing Grid Economics Forum

3. The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

4. The Traditional Data Center Dedicated silos are inefficient Sized for peak load Constrained performance Difficult to scale Expensive to manage Middleware Database Storage Dedicated Stacks

5. Grid Computing Virtualizes and Pools IT Resources

6. Virtualization and Clustering Key techniques for capacity rightsizing and efficient management

7. Grid Economics for the Data Center Virtualization and clustering enable consolidation Pay-as-you-go scale-out High Quality of Service Automated grid management Lower CapEx & OpEx Avoid upfront CapEx & OpEx Avoid lost user productivity, improve customer service Raise IT staff efficiency, lower OpEx

8. Consolidation with Grid Computing Server A Server B Server C Server D Application A Application B Application C Application D Workload Avg Utilization <20% Applications A, B, C, D, E Net Workload Avg Utilization 70% Freed capacity to deploy elsewhere Take advantage of complementary workload peaks Higher utilization rates and efficiency Lower CapEx & OpEx Green footprint Oracle Shared Instance Server E Application E Server A Server B Server C Server D Server E Virtualization and clustering enable consolidation

9. Scale Out with Grid Computing Applications A, B, C, D, E Net Workload If utilization too high, increase capacity Pay-as-you-go scale-out Lower upfront CapEx and ongoing OpEx Green footprint Rightsized capacity planning Smaller, standard machines running at higher utilization Defer equipment procurement Exploit advances in hardware price-performance and energy efficiency Oracle Shared Instance Server A Server B Server C Server D World-class clustering at all levels: database, middleware, storage Add/Remove nodes on-demand Scale out as workload increases Scale-out on-demand

10. Quality of Service with Grid Computing Applications A, B, C, D, E Net Workload Systematic high Quality of Service Reliability through redundancy Predictable performance at any scale High availability – every application gets HA Oracle Shared Instance Server A Server B Server C Server D Load balancing Failover Active-Active operation High performance and availability Server E Disaster recovery Rolling upgrades

11. Efficient Management with Grid Computing Deploy standard virtual machine images quickly and easily Expedited provisioning and patching Manage Quality of Service from end-user perspective Automated diagnostics and tuning Real-time and predictive monitoring Comprehensive testing and validation

12. Most Complete Grid Stack in the Industry Grid Computing in All Tiers Middleware Application Grid WebLogic Server Coherence In-Memory Data Grid JRockit Real Time Tuxedo Database Real Application Clusters In-Memory Database Cache HP Oracle Database Machine Storage Automatic Storage Management Oracle Advanced Compression Exadata Storage Server Infrastructure Oracle VM Oracle Enterprise Linux Management Oracle Enterprise Manager

13. Oracle Real Application Clusters Beats SMP Premium, Pay as you Grow Year 1 Year 2 Year 3 Year 4 Year 5 Large SMP RAC Cluster High Upfront Cost Low Cost Building Blocks Greener and More Powerful + + Lowest TCO Diminishing Returns High Ongoing Maintenance Costs

14. Case Study: Mercado Libre eBay of Latin America Mercado Libre Number RAC Nodes vs Workload

15. RAC/Database Video

16. Oracle In-Memory Database Cache Extreme Performance Delivers fast, consistent responsive times and high throughput Database cache grid for scale-out Subset of tables, rows & columns Read and updateable Dynamic loading, aging Highly available Replication Cross-tier HA with RAC Supports database standards SQL92/ODBC/JDBC OCI, Pro*C, PL/SQL Application Storage Grid With RAC Cached tables

17. Automatic Storage Management Lowers the Cost of Data Management Automatic Storage Management Virtualize and share storage resources Advanced data striping for maximum I/O performance Online addition and migration of storage Database Grid Storage Grid

18. Storage Optimization Cut Storage Costs by 70% Oracle Advanced Compression Compresses all data types Compresses backup data Improves system performance Automatic Storage Management Optimizes disk space usage Improves staff productivity Information Lifecycle Management Enables tiered storage by type Exploits extreme low cost storage options Compression 4X Up To

19. “ One of the large Oracle RAC systems we have is a 16-node system with six storage nodes behind it….the uncompressed data within it is about a full petabyte worth of data. It's 200 terabytes compressed.” David Apgar Business Continuity Planning High Availability Engineer Yahoo

20. Grid Concepts in Middleware Develop and Deploy to Application Grid Economies of Scale Proven to Outperform Lowest Risk High Availability Architecture Application Grid Custom App Packaged App SOA Svc C/C++/ COBOL Legacy Virtualization Virtualization APPLICATION GRID

21. Grid Concepts in Middleware Develop and Deploy to Application Grid JRockit WebLogic Server Tuxedo Coherence Custom App Packaged App SOA Svc C/C++/ COBOL Legacy Virtualization Virtualization Enterprise Manager APPLICATION GRID

22. App Grid/WLS Video or Customer APPLICATION GRID

23. Pressure to Streamline IT Operations 40% of CIOs surveyed cite lack of automation tools 60%–70% of IT budget is spent on operations and maintenance Better Quality of Service Lower Operational Cost Better Agility Lower Risk Many organizations are 30% below achievable IT productivity levels CIO Magazine , 2007 Enterprise Management Associates, 2007 Enterprise Management Associates, 2007 IT Operations

24. Achieve Lowest Cost of Operations With Oracle Enterprise Manager Reduce operational costs With intelligent diagnostics and automation Reduce database management costs by 40% Reduce configuration management effort by 90% Reduce patching and provisioning effort by up to 98% Manage applications top-down From business and end-user perspective Avoid online revenue losses up to 25% Maximize staff productivity by 10 times or more Manage entire application lifecycle With Application Quality Mgmt and Compliance Solutions Reduce testing effort by up to 80% Increase test coverage by 95%

25. “ We manage thousands of databases and application servers with Enterprise Manager, and we have been able to reduce the time for provisioning software from 4 hours down to 1 hour, as well as reduce patch application time from 1 hour down to 1 minute per database. Enterprise Manager Grid Control allows us to automate this process, which translates into huge savings in time and money.” Andreas Stephan Senior DBA Consultant Bayer Business Service

26. Enterprise Manager Video (Johns Hopkins Hospital) APPLICATION GRID

27. Linux and Virtualization Lowest Cost Platform Oracle Enterprise Linux Dedicated engineering team Free Oracle Management pack for Linux Oracle VM Oracle Validated Configurations for Linux and Oracle VM Faster Deployment Free to download, use and distribute Real-world testing and validation 24X7 support, 145 countries, 27 languages Unbreakable Linux Support Oracle VM templates

28. Complete end-to-end management Application  Oracle VM layer Lifecycle automation Deploy, patch, clone, migrate, gold image Oracle VM Management Configuration tracking & policies Performance & availability monitoring VM Template management

29. Oracle VM Templates Rapid Application Deployment Download from Oracle Pre-built, pre-configured VM Complete app, middleware, DB, Grid Control installation Save days or weeks in installation and configuration time VM NAS, SAN, iSCSI Oracle VM Servers Oracle VM Server Pool VM VM VM E-Delivery Import to Oracle VM Manager VM 11g DB Start-Up in Oracle VM Pool VM 11g DB VM Customize & Save as Golden Images VM 11g DB VM 11g DB VM 11g DB

30. Case Study: University of Massachussetts Virtualization and Linux 5 campuses 75,000 students and faculty Before After Silo’d infrastructure “ Shared infrastructure” (grid) 10% - 15% server utilization 70+% server utilization 500 legacy servers 175 Linux servers “ Increasingly high risk due to management complexity” “ Significantly reduced risk from ease-of-management and integrated failover” Dedicated App/Web tier 100% virtualized App/Web tier 30 - 60% reduction in TCO: lower CapEx, energy costs, HR cost avoidance

31. Case Study: Oracle IT Cost Savings using Oracle VM 83% reduction in hardware CPU utilization increased from 7% to 73% Revenue per server increase 5X Floor space consumption reduced 50% Data center power consumption reduced 40% Greatly simplified server refresh 1300 environments automatically provisioned weekly Servers to administrator ratio increased 10X SaaS and hosting/management services 67% reduction in hardware CPU utilization increased from 9% to 55%

32. Solution Support Center VALUE Achieve operational excellence Reduce costs and avoid unplanned downtime Minimize change-related risks A dedicated, virtual team providing continual operational improvement and unparalleled expertise in supporting the complete Oracle software stack. VIRTUAL CENTER OF EXCELLENCE Unparalleled technical expertise Support, Account Management, Product Development at your finger tips Dedicated toll-free number to Oracle Support HIGHEST SYSTEMS CAPABILITIES System & performance assessments Personalized management of service requests Problem avoidance through quarterly reviews PROVEN BEST PRACTICES ITIL v3 methodologies Unique tools, methods, & processes Oracle Solutions Lifecycle

33. Grid Economics for the Data Center Takeaways Virtualization and clustering enable consolidation Pay-as-you-go scale-out High Quality of Service Automated grid management Lower CapEx & OpEx Avoid upfront CapEx & OpEx Avoid lost user productivity, improve customer service Raise IT staff efficiency, lower OpEx