an energy, memory, and performance analysis

© 2009 IBM Corporation© 2009 IBM Corporation

An Energy, Memory, and Performance Analysis Case Study on the Mainframe

Mike Buechele, John Rankin, Elisabeth Stahl IBM Systems and Technology Group

© 2009 IBM Corporation2

Agenda

Why Energy Efficiency Benchmarking ?

Mainframe => Energy Efficiency

Server Consolidation, Virtualization, and TCO

The Case Study: Energy, Memory and Performance Analysis

Conclusions


My Summer Vacation 2009


Grinnell Glacier, Glacier National Park, 1940 vs. 2004

Source: http://www.livescience.com/php/multimedia/imagegallery/igviewer.php?imgid=626&gid=42&index=0


Science Panel Calls Global Warming ‘Unequivocal’2007


Why Energy Efficiency Benchmarking ?

– Historically, power was a seldom thought of commodity but due toincreased 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.


Energy Efficient ?


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.


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: http://www.ibm.com/press/us/en/pressrelease/28314.wss


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.


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


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.


The Case Study

Mainframe Memory

Large System Performance Reference Data

Power Estimation Tool

Power Efficiency Workload Analysis

Client Scenarios

Consolidation Calculations

Results


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.


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.

http://www.ibm.com/systems/z/advantages/management/lspr/index.html


The Case Study - Power Estimation Tool Input

An estimate of the power consumption for the specified configuration

https://www.ibm.com/servers/resourcelink/hom03010.nsf/pages/powerestimationmain?OpenDocument&login


Power Efficiency LSPR Rating per Kilowatt using WASDB (WebSphere Application Server and Data Base) Workload

0 10 20 30 40 50 60number of processors

0

1

2

3

4

LSP

R r

atin

g / K

WWASDB Power Efficiency Scatterplot

Turning processors on in a mainframe requires little extra power; Very little extra power is required to add additional LSPR workloads.


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


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 power50% savings in floorspace


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.


References[GASP08] M. Gasparovic et al, “IBM System z10 Business Class Technical Overview,” (2008).http://www.redbooks.ibm.com/abstracts/sg247632.html?Open

[IBM09A] “IBM System z10 Business Class (z10 BC) Reference Guide,” (2009).ftp://ftp.software.ibm.com/common/ssi/pm/rg/n/zso03021usen/ZSO03021USEN.PDF

[IBM09B] “IBM System z10 Enterprise Class (z10 EC) Reference Guide,” (2009).ftp://ftp.software.ibm.com/common/ssi/pm/rg/n/zso03018usen/ZSO03018USEN.PDF

[IBM08A] “IBM Launches Next-Generation Mainframe for Midsize Customers,” (2008).http://www.ibm.com/press/us/en/pressrelease/25584.wss

[IBM09C] “Power Estimation Tool,” (2009).https://www.ibm.com/servers/resourcelink/hom03010.nsf/pages/powerestimationmain?OpenDocument&login

[STAH08] E. Stahl, M. Buechele, J. Rankin, “A Consolidation, Virtualization and Power Study on the IBM System z10,” Techdocs Library WP101265 (2008).http://www.ibm.com/support/techdocs/atsmastr.nsf/WebIndex/WP101265

[IBM07] “IBM's Project Big Green Spurs Global Shift to Linux on Mainframe,” (2007).http://www.ibm.com/press/us/en/pressrelease/21945.wss

[IBM08B] “Large Systems Performance Reference,” (2008).http://www.ibm.com/systems/z/advantages/management/lspr/index.html

[SHAC08] M. Shacklett, “Optimized Computing: Nationwide’s Linux on System z Virtualization Reduces TCO and Time to Deploy,” Mainframe Executive (2008).http://www.mainframe-exec.com/articles/?p=30


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