PerfCap offers an integrated performance and capacity planning software solution called PAWZ. PAWZ collects data from nodes, analyzes performance trends, and uses modeling to predict capacity needs and identify systems at risk of saturation. It helps answer questions like how much workload growth an existing configuration can support and what configuration changes would enable more growth. A case study showed PAWZ accurately modeled an Itanium system and identified hardware options to support 200% workload growth. PAWZ automates the capacity planning process.

1. Capacity Planning for Itanium Paul O’ Sullivan and Prem S. Sinha, PhD . PerfCap Corporation 76-39A Northeastern Blvd.,, Nashua, NH 03062 www.PerfCap.com; Info@PerfCap.com; 603-594-0222

6. Data Management Hierarchical Approach : Performance Analysts : Capacity Planners Raw Data Key Performance Data Risk Data

7. Desk Top Browser Intranet PAWZ FindIT Server (NT/W2K) Networks Storage Events Trending Clusters Real Time Applications Performance Reports Daily, Weekly Health Reports Critical Systems Asset Location Change Report Configuration Asset Reports Windows NT/2000/XP SUN Solaris HP-UX IBM-AIX OpenVMS Cluster LINUX Tru64 UNIX

11. Sizing Methods Rules of Thumb Linear Projec- tions Analytic Models Simula- tion Models Bench- marks Real System Cost Accuracy

13. PAWZ Planner Where do you want to operate? Response Time =  {Service Time + Queuing Time}  Workload Response Time Saturation Point Current Workload Headroom

15. PAWZ Planner

16. Remaining Headroom (Capacity) Trend

17. Headroom Risk Analysis Time Headroom Headroom threshold Headroom crosses threshold Lead time Amber status – system within lead time of dropping below headroom threshold. Lead time Headroom reaches 0 Red status – system within lead time of exhausting capacity. Current state

18. Risk Analysis

19. Risk Analysis

20. Risk Analysis

23. “ What if” CPU & Disk Upgrade Before After

27. Itanium Capacity Study

28. CPU by Image / Disk I/O Rate

29. CPU by Core

30. Memory vs Process Count

31. Total IO Counts

32. IO Rates

33. Disk Response Time

34. Performance Data from Benchmark CPU Utilization 86.3% Disk I/O Rate 1514/s Hard Page Fault Rate 1.2/s Memory Utilization 73%

35. Current Response Time Curve

36. Where should your system live?

38. Configuration Alternatives (3 or 4 nodes) HP rx8620 (1.1 GHz, Itanium 2) – current configuration HP rx8640 (1.6 GHz, 24MB L3 cache), 16 core HP rx8640 (1.6 GHz, 25MB L3 cache), 32 core IBM p 570 (2.2 GHz, Power 5), 16 core IBM p 570 (2.2 GHz, Power 5), 32 core IBM p 570 (4.7 GHz, Power 6), 16 core Sun SPARC Enterprise M8000 (2.4 GHz) , 16 core Sun SPARC Enterprise M8000 (2.4 GHz) , 32 core Configuration must support 200% workload growth

39. Response Time vs Workload Growth 3-node RAC

40. Response Time vs Workload Growth 4-node RAC

42. Minimal Cores, 3-node RAC

43. Minimal Cores, 4-node RAC

44. Mixing 1.1 GHz and 1.6 GHz Itanium Cores

45. Minimal Number of Cores per Node Supporting 200% Growth Platform 3-node 4-node Sun SPARC Enterprise M8000 (2.4 GHz) 32 24 HP rx8640 (1.6 GHz, 25MB L3 cache) 30 24 IBM p 570 (2.2 GHz, Power 5) 26 20 IBM p 570 (4.7 GHz, Power 6) 12 10