The document discusses how compute grids are evolving into cloud infrastructures. It describes how grids provide shared resources, automatic allocation of resources, and handle failures. Private clouds exhibit these same features and allow for self-service provisioning of resources according to workload and policy-driven allocation. The document also outlines different types of cloud services and components like IaaS, and how IaaS can provide benefits like faster access to resources and lower costs through pay-per-use models.

1. From Grid To Cloud Online Gaming High Scalability SIG Presented by:Simon Waterer Solution Architect, Platform Computing July 2009

2. Are Compute Grids Morphing Into Clouds? 13/07/2009 2 How Many Of You Are Using Compute Grid Technology? Do Cloud Infrastructures Share Features Found In Grids?

3. Platform in the Gaming Industry 13/07/2009 3 Feed Handler, Grid Client TIP-EX Trader/Modeller Wholesale Channel Compute Grid Data Cache Client Web Site Client Mobile ………. Oracle Excel Instances Running on The Grid

4. Running Excel On the Grid Grid Client Spreadsheet serialised at client and passed by grid middleware to grid node Dialog Sniffer used for debugging spreadsheets that are to be run on the grid Scheduler Grid Service/Engine Grid Node/Host. Multiple Service/Engines run per CPU/core Excel Instance

5. The Advantages of Grid? Handles allocation of resources Automatic Shared Resources Handle Failures The grid provides redundancy So What? Run more workload using fewer resources 13/07/2009 5

6. Grid Components 13/07/2009 6 Input Output Application Input Output Client Service Grid Infrastructure

7. Grid Components Application on-boarding Scheduler Middleware Workload monitoring Workload management Data Grid Reporting Resource allocation Resource policy Cluster management Reporting 13/07/2009 7 Application Orchestration Resource Orchestration

8. Phases of Grid Adoption 13/07/2009 8 A A A A A A A A A A A A A A A A A A A A A A A A Phase 1 Phase 2 Phase 3 Phase 4 LOB LOB LOB LOB LOB LOB LOB LOB A Phase 1:Silo Grid – Grid enable application running on a commodity cluster Phase 2:LOB Grid – Resource sharing among multiple applications Phase 3:Enterprise Analytics Grid – Utility computing; enterprise scale and management Phase 4:Enterprise Grid – Beyond analytics: commercial applications on grid

10. IT administrators eliminate manual setup and repurposing work

14. Dynamic addition of non-HPC VMs to HPC GridNon-HPC servers HPC Grid VM VM VM VM 11

18. Limited apps

19. Basic VM mgmtEnterprise Workgroup / LOB 3 Paths to Cloud Adoption Scope of sharing Cloud – “A pool of abstracted, highly scalable, and managed infrastructure capable of hosting end-customer applications and billed by consumption” (Forrester) Client/Server Silos Time 2015 2009 2003 13

22. Mission critical SLAs

23. High security & compliance requirements

24. Enterprise-specific services14

26. Increased utilization of existing resources

27. Controlled overflow to Public clouds to meet unpredictable workload spikes

28. Lower CapEx & OpExCompany X 15

29. 7/13/2009 16 Different Cloud Services Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Infrastructure-as-a-Service (IaaS) Private Public

31. Publish & deliver services

35. Lower costs, pay by actual usage

37. Faster response to business

38. Timely delivery

39. Increased utilization

40. Lower CapEx & OpEx

41. Reduced human errors18

42. 7/13/2009 19 IaaS Components Manual Service Delivery Creating a shared computing infrastructure from physical & virtual heterogeneous resources Delivering app environments according to workload-aware & resource-aware policies Allocation Engine Resource Integrations

43. Questions?

45. Exhibiting cloud tendencies

46. Private Clouds

47. Resource and workload aware allocation are key

48. Policy driven

49. Platform Symphony

50. www.platform.com

51. Platform ISF Beta

52. Launched July

53. Head in The CloudYouTube, Amazon, Stanford University 13/07/2009 21