The Role of Grid in the IT Landscape Robert Fogel Intel Corporation, Principal Education Architect OGF Vice-President

Grid and virtualization work together in the IT datacenter and beyond Overview Enterprise IT Pain Points: Total cost of operation Operational & energy efficiency Business alignment and delivery of business value Virtualization has struck a loud chord Grid extends the familiar concept of virtualization Increased utilization of IT assets Break-down of silos Federation of data and infrastructure Grid and virtualization work together in the IT datacenter and beyond 2

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Virtualization Spectrum Rack/Cluster & Desktops Virtual Enterprise Processor Virtual Ecosystem Virtual Datacenter Platform (micro) Virtualization Spectrum (macro) VM (today) “The Grid” Enterprise Grid (today) Service-Oriented IT (Grid + SOA + Web 2.0) 4

Virtualization in the Future Virtualized Compute, Network & Storage Application and Data Services SOA Outsourcers Firewall Internet Comm Service Providers Digital Government Mobile Consumers Digital Homes Digital Offices (SMB) Enterprise Mobile Workforce Digital Office Data Center MOTE RFID Factory / Warehouse Sensors Business Processes & Workflows Suppliers Customers 5

Next Generation IT Infrastructure Grid Virtualize, Provision, and Aggregate Shared Resource Pools Communication Grid Enabled Storage Compute Messaging Directory Data Orchestration Resources Security Web Services Grid Middleware Services Utility Computing Services Optimization Load Balancing Billing Accounting Metering WSRF Grid Services Utility Computing Policy-based SLA/QoS, dynamic resource allocation, and pay-for-use 6

The Virtual Datacenter CPU Blade/Server Core … VM Grid of VMs (or service containers) 7

IT Infrastructure Evolution Evolving Toward The Virtual Datacenter IT Infrastructure Evolution 2002 - 2005 Single-core processor systems Multi-Core processor-based system Server Consolidation Shared Landing Intel Host Platform Common Application Components Operating System App A App B App C 2004 - 2007 App A App B App C Enterprise Grid Grid Middleware VMM App E App D App C App B App A OS OS Partitioning 8

The Business Value of Virtualization Server Consolidation R&D Production OS App … OS App VMM HW HW VMM HW HW Multiple App/OS – 10:1 in many cases Enables rapid deployment Disaster Recovery Dynamic Load Balancing OS App 2 OS App 3 RICHARD WIRT In the server environment, virtualization increase utilization by making it possible to host mixed operating systems on a platform. By migrating workloads from dedicated smaller servers to high-reliability enterprise platforms, administrators can increase efficiency, reduce energy costs, maintain high reliability, and reduce administration overhead. By providing the ability to run development, test and production version of a software stack on the same machine, virtualization can reduce the number of machines need in the development environment. It can also speed deployment because the development and production platforms are guaranteed to be identical, the developer can plug into production workloads, and the promotion from test to production can be done in seconds. The isolation provided by the VMM ensures that test software cannot bring down the production applications. Disaster recover is aided by virtualization because production software can be encapsulated in a virtual machine and moved as a unit from a failing machine to an alternate platform before the application fails. Or if the hardware does fail, the application can be quickly restored as a single VM, eliminating the sometimes long and laborious process of restore backup files and reconfiguring the OS and applications before the system can be restarted. Extending the notion of VM migration, dynamic load balancing software monitors the performance of an application running in a VM and when the response falls below as target level the VM is given access to more resources on its current platform, or moved to a more powerful or less utilized platform. As a result, the average utilization of all the machines is higher and more consistent. App 1 App 4 OS App … OS OS VMM VMM HW HW VMM VMM CPU Usage CPU Usage HW HW 90% 30% Upholding high-levels of business continuity Balancing utilization with head room Higher Utilization, Isolation, Lower TCO 9

Consolidated Environment # 2 CPU App C OS B # 3 App D CPU OS B # 1 CPU App A OS A App B # 5 CPU App F OS B C#4A CPU OS B C#4B C#4C App E Dissimilar configurations Low System Utilization (<20% on avg.) 10

Starting on Virtualization App E Grid SW # 2A CPU App C App D SW VMM OS B # 2 CPU App C OS B # 3 App D CPU OS B # 1 CPU App A OS A App B # 1 CPU App A App B SW VMM OS A OS B App F # 5 CPU App F OS B #4A #4B #4C App E OS B OS B OS B CPU CPU CPU SW OS Partitioning Grid Dissimilar configurations Cluster or silo heterogeneous environment enabled for maximal performance & server utilization 11

Better Virtualization App E Grid SW # 2A VT CPU App C App D VT Enab. VMM OS B # 1A VT CPU App A App B VT Enabled VMM OS A OS B App F #4B #4A CPU OS B #4C CPU OS B CPU SW VMM CPU SW VMM SW OS Partitioning HW Assisted OS Partitioning Grid HW assisted OS Partitioning Better reliability over SW based OS Partitioning 12

Grid + OS Partitioning Enhanced virtualization App E App E Grid SW Grid SW # 2A VT CPU App C App D VT Enab. VMM OS B # 4VA VT CPU VT Enabled VMM OS A OS B #4B #4A CPU OS B # 4VB VT CPU VT Enabled VMM OS A OS B #4C CPU OS B App A App B App F OS Partitioning Grid + OS Partitioning Grid Enhanced virtualization Resources available on demand 13

Completing Virtualization App A App B App F App E Grid SW Grid SW # 2A VT CPU VT Enab. VMM OS B # 4VA VT CPU VT Enabled VMM OS A OS B # 4VB VT CPU VT Enabled VMM OS A OS B #4C CPU OS B App C App D Grid + OS Partitioning Extending cross enterprise Resource allocation shifted based on SLA and QoS 14

Future Scaling Much simpler scale-out App C App D App A App B App F App E Grid SW Grid SW # 2A # 4VA VT CPU VT Enabled VMM OS A OS B # 4VB VT CPU VT Enabled VMM OS A OS B #4C CPU OS B # N1 VT CPU VT Enab. VMM OS B OS A OS B OS B VT Enab. VMM VT CPU Much simpler scale-out 15

The Best Combination 80% 90% 65% 30% 15% 1000% Enterprise Grid Application Modification May Be Required (many vendors) No Application Modification Required App A App B App C Enterprise Grid Business Grid SW VMM App E App D App C App B App A OS OS Partitioning Server Utilization 90% Operation Costs Reduction 30% Application Performance 1000% Server Utilization 80% Operation Costs Reduction 65% Application Performance 15% Source: Intel Customers including Hewitt, Wachovia, CSFB and others 16

Summary and Conclusion Grid and VM technologies are mainstream Grid and VM work together to provide better optimization and new capabilities of the IT datacenter Grid setups for extending optimization and new capabilities beyond the datacenter 17