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An energy, memory, and performance analysis


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An energy, memory, and performance analysis

  1. 1. An Energy, Memory, and Performance Analysis Case Study on the Mainframe Mike Buechele, John Rankin, Elisabeth Stahl IBM Systems and Technology Group © 2009 IBM Corporation
  2. 2. Agenda Why Energy Efficiency Benchmarking ? Mainframe => Energy Efficiency Server Consolidation, Virtualization, and TCO The Case Study: Energy, Memory and Performance Analysis Conclusions 2 © 2009 IBM Corporation
  3. 3. My Summer Vacation 2009 3 © 2009 IBM Corporation
  4. 4. Grinnell Glacier, Glacier National Park, 1940 vs. 2004 Source: 4 © 2009 IBM Corporation
  5. 5. Science Panel Calls Global Warming ‘Unequivocal’ 2007 5 © 2009 IBM Corporation
  6. 6. Why Energy Efficiency Benchmarking ? – Historically, power was a seldom thought of commodity but due to increased demands on power grids and municipal power systems power can no longer be ignored. – Metrics for power consumption of different components can help build more balanced systems. – Metrics provide the necessary data for high-level management software, operating systems to make scheduling decisions and power profiles for changes to compilers and operating systems. – Power metrics are needed to anticipate and implement cooling requirements in datacenters, determine operational costs and balance performance with energy usage. 6 © 2009 IBM Corporation
  7. 7. Energy Efficient ? 7 © 2009 IBM Corporation
  8. 8. Mainframes and Energy Efficiency The newest mainframe is more energy efficient than its predecessor. The energy consumption per unit of capacity in mainframe servers has decreased by a factor of sixteen since 1995. Over the same time period, the floorspace occupancy per unit of capacity has decreased by a factor of seventy-seven The mainframe provides monitoring of energy consumption and tools for building energy consumption trends that can be utilized for in-depth analysis. The mainframe can be a very smart platform for the integration of energy efficiency and performance. 8 © 2009 IBM Corporation
  9. 9. Global CIO Study 2009 “CIOs also are continuing on the path to dramatically lower energy costs, with 76 percent undergoing or planning virtualization projects” Source: 9 © 2009 IBM Corporation
  10. 10. Server Consolidation and Virtualization Server consolidation advantages: Improved availability, reduced costs and complexity, and simplified operations Maximization of an organization’s return on investment in the data center High levels of security and data integrity that are difficult to achieve in a distributed environment Server consolidation specifically exploiting virtualization can be a very effective tool in helping to reduce energy costs. By pooling, managing and optimizing IT resources across servers, virtualized systems and storage can improve the economics and operations of under-utilized IT assets, with the potential to decrease energy needs and usage. For a long time, mainframes by definition have been virtualized. 10 © 2009 IBM Corporation
  11. 11. The Total Cost of IT • Hardware costs: Reducing the number of server, storage devices, peripherals • Software costs: Lowering software licensing and renewal costs, operating systems, and supporting software • Support staff: Reducing the number of human resources needed to administer or manage the environment, as well as ongoing training costs • Operational costs: Reducing costs of floor space, power consumption, cooling systems • “Hidden costs”: Costs associated with inconsistent or incompatible hardware and supporting software, system failures, data loss, security exposures, network costs 11 © 2009 IBM Corporation
  12. 12. Total Cost of Ownership (TCO) TCO is a key financial measure that provides IT managers with estimates of direct and indirect costs on technology investments to align IT investment with organizational strategy. TCO may be calculated over a three year period to achieve a cost that reflects implementation of a system and over a shorter period for budgets and planning. TCO includes hardware, software, operational, networking, and support costs. Major operational costs include electricity, cooling, and floor space. Power and energy efficiency have begun to play a larger part in the TCO calculation. 12 © 2009 IBM Corporation
  13. 13. The Case Study Mainframe Memory Large System Performance Reference Data Power Estimation Tool Power Efficiency Workload Analysis Client Scenarios Consolidation Calculations Results 13 © 2009 IBM Corporation
  14. 14. The Case Study - z10 BC Memory Input Memory can be obtained in increments of 4 GB up to a total size of 32 GB. From 32 GB the increment size doubles to 8 GB until 120 GB. To accommodate workloads with higher memory demands, the memory size of the z10 BC can now be increased to 248 GB. 14 © 2009 IBM Corporation
  15. 15. The Case Study - Large System Performance Reference (LSPR) Input The IBM Large System Performance Reference (LSPR) ratios represent IBM's assessment of relative processor capacity in an unconstrained environment for the specific benchmark workloads and system control programs specified in the tables. 15 © 2009 IBM Corporation
  16. 16. The Case Study - Power Estimation Tool Input An estimate of the power consumption for the specified configuration 16 2009 IBM Corporation ©
  17. 17. Power Efficiency LSPR Rating per Kilowatt using WASDB (WebSphere Application Server and Data Base) Workload WASDB Power Efficie ncy Sca tte rplot 4 3 LSPR r ating / KW 2 1 0 0 10 20 30 40 50 60 number of pr ocessors Turning processors on in a mainframe requires little extra power; Very little extra power is required to add additional LSPR workloads. 17 © 2009 IBM Corporation
  18. 18. The Case Study – Consolidation Calculations 200 distributed servers with low utilizations 25 of these servers 1 z10 BC processor + 30G real memory = 8 IFL processors + 240G real memory Original z10 BC supported 10 IFLs, 120G memory need 2 z10 BCs Enhanced z10 BC supports 248G need 1 z10 BC 18 © 2009 IBM Corporation
  19. 19. Case Study - Results Original z10 BC New z10 BC Model 2098 2098 Active Processors 5 (4 IFLs + 1 SAP*) 10 (8 IFLs + 2 SAPs*) I/O Drawers 1 1 Memory 120 G 248 G Copper Fan out cards 1 2 MP Daughter cards 2 4 FICON Express4 4KM LX 4 8 OSA – Express2 10GbE LR 1 1 Utility Input Power 3168 Watts 3609 Watts Systems Required 2 1 Total Power Required 6336 Watts 3609 Watts 43% savings in power 50% savings in floorspace 19 © 2009 IBM Corporation
  20. 20. Conclusions Many organizations around the world are looking to reduce power consumption and many are facing data center power challenges. Server consolidation and virtualization are important energy management strategies and are integral to total cost of ownership - consolidating additional work onto existing machines is an effective power performance management technique. With the mainframe, IT managers can successfully integrate reduced power consumption with increased performance. With additional memory, the mainframe can be even more energy efficient and contribute to greater savings in both power and floorspace. 20 © 2009 IBM Corporation
  21. 21. References [GASP08] M. Gasparovic et al, “IBM System z10 Business Class Technical Overview,” (2008). [IBM09A] “IBM System z10 Business Class (z10 BC) Reference Guide,” (2009). [IBM09B] “IBM System z10 Enterprise Class (z10 EC) Reference Guide,” (2009). [IBM08A] “IBM Launches Next-Generation Mainframe for Midsize Customers,” (2008). [IBM09C] “Power Estimation Tool,” (2009). [STAH08] E. Stahl, M. Buechele, J. Rankin, “A Consolidation, Virtualization and Power Study on the IBM System z10,” Techdocs Library WP101265 (2008). [IBM07] “IBM's Project Big Green Spurs Global Shift to Linux on Mainframe,” (2007). [IBM08B] “Large Systems Performance Reference,” (2008). [SHAC08] M. Shacklett, “Optimized Computing: Nationwide’s Linux on System z Virtualization Reduces TCO and Time to Deploy,” Mainframe Executive (2008). 21 © 2009 IBM Corporation
  22. 22. This document was developed for products and/or services offered in the United States. IBM may not offer the products, features, or services discussed in this document in other countries. The information may be subject to change without notice. Consult your local IBM business contact for information on the products, features and services available in your area. All statements regarding IBM future directions and intent are subject to change or withdrawal without notice and represent goals and objectives only. IBM, the IBM logo, System z, and System z10 are trademarks or registered trademarks of International Business Machines Corporation in the United States or other countries or both. A full list of U.S. trademarks owned by IBM may be found at: Linux is a trademark of Linus Torvalds in the United States, other countries or both. Other company, product, and service names may be trademarks or service marks of others. IBM hardware products are manufactured from new parts, or new and used parts. In some cases, the hardware product may not be new and may have been previously installed. Regardless, our warranty terms apply. This equipment is subject to FCC rules. It will comply with the appropriate FCC rules before final delivery to the buyer. Information concerning non-IBM products was obtained from the suppliers of these products or other public sources. Questions on the capabilities of the non IBM products should be addressed with those suppliers. All performance information was determined in a controlled environment. Actual results may vary. Performance information is provided “AS IS” and no warranties or guarantees are expressed or implied by IBM. Buyers should consult other sources of information, including system benchmarks, to evaluate the performance of a system they are considering buying. When referring to storage capacity, 1TB equals total GB divided by 1000; accessible capacity may be less. The IBM home page on the Internet can be found at: 22 © 2009 IBM Corporation