optimized systems: matching technologies for business success

© 2011 IBM Corporation

Tom RosamiliaGeneral Manager, Power and z SystemsIBM Corporation

Optimized Systems.Matching technologies for business success.

Optimized Systems.Matching technologies for business success.


Designed for dataHarness all available information including Big Data to unlock insights for better decision making.

Managed in the CloudDeliver new services with Cloud and reinvent business processes to drive innovation.

Optimized systems play a critical role in Smarter Computing

Tuned to the taskDrive greater performance and efficiency using Optimized Systems for each workload for superior economics.


On a smarter planet, different workloads have different characteristics

Consider Smarter Traffic Smart MonitoringMonitoring workload to integrate multimodal information in real time

Smart AnalyticsAnalytic workload looking for patterns in traffic

• Multiple data sources• Real-time collection of data• 24x7 operation

• Real-time analysis of traffic problems• Queries of varying complexity • Forecasting traffic patterns


Virtualization & Operating Systems

Microprocessor Design

Semiconductor Technology

Software

•Stack integration

•Middleware tuned for hardware

• Integrated management across

architectures

Hardware

•Multi-core architectures

•Advanced threading

•Low latency

Domain Knowledge Workload characteristics Interdependencies Architecture options

Optimized Middleware

Compilers & Java Virtual Machine

Systems Design

Optimized systems are tuned to help address the unique needs of any workload


Economics

Optimize total cost of ownership

Performance

Align performance requirements with business needs

Architecture

Create a strongarchitectural foundation to address business needs

Key considerations for leveraging optimized systems


Need flexibility to deploymultiple workloads of differenttypes—e.g. data management,messaging, web facing etc.

Requires moderate flexibilityto tune small number ofworkloads—for example, data management and analytics

Flexibility not required—needhigh performance at low costfor a specific workload

AppliancesAppliancesIntegrated, optimized systems

Integrated, optimized systems

Client-builtwith optimized

components

Client-builtwith optimized

components

IBM Netezza TwinFin

IBM Smart Analytics

System 7600

IBM DB2 & WebSphere on

IBM POWER System

IBM offers a spectrum of workload optimized systems

© 2011 IBM Corporation7

System z

Source: Based on IBM internal studies; *Pricing comparison based on US list prices of IBM DB2 Advanced Enterprise Edition and the Oracle software with analogous capabilities: Oracle Database Enterprise Edition, Advanced Compression, Active Data Guard, Label Security, Partitioning, Oracle Enterprise Manager, Internet Developer Suite, Diagnostics Pack, Oracle-to-Oracle Federation, Golden Gate. All list prices based on US and valid as of 01/26/2011.

Power Systems System x IBM Storage

Freedom by Design Performance Redefined Defining the Next Generation of x86 Servers

Storage Reinvented

Achieve up to 55% lower TCO per workload

Power Systems running DB2 as low as 1/3 the cost of Oracle Database*

Industry-leading Intel performance and lowermanagement cost by 50%

Reduce power, operating and cooling costs by up to 60%

IBM’s optimized systems offer architecture choices, help drive down cost per workload and improve performance


Anatomy of an optimized system: POWER7

45 nm SOI Semiconductor

Technology

eDRAM cache integrated on processor chip




Technology

Turbo-core mode for thread performance & max core for throughput performance

POWER7 Microprocessor

Design




Technology

Power Systems Design

Intelligent failure detection and recovery

Large memory with high bandwidth


Design




Technology


Virtualization & Operating

Systems

Granular, scalable virtualization of servers and I/O with low overhead


Design




Technology



Systems

Compilers & Java Virtual

Machine

Joint optimization of compiler and microprocessor for optimum performance


Design




Technology


Design



Systems


Machine

IBMOptimized

Middleware

Middleware optimized to exploit hardware architecture (workload management, storage keys, page sizes etc.)


Web and Collaborative

Messaging

• 54% lower cost per workload than SPARC3

• 2.5X more performance than Sun Fire4

• 5X more transactions at 1/4 the cost of SPARC5

• 12.8X improvement over Microsoft BizTalk Server6

• 3.9X more SAP users per core than Oracle1

• 4X more throughput at 1/4 the cost per report of competitor’s database machine2

Database

1 SAP SD Standard Application Benchmark Results, Two-Tier Internet Configuration. http://www.sap.com/solutions/benchmark/sd2tier.epx2 IBM SWG Internal Study of Cognos analytics workload – concurrent execution of mixed (complex, intermediate, simple) reports3 IBM SWG Internal Study consolidating very heavy Web Facing workload 4 IBM SWG Internal Study IBM WAS on Power vs Leading App Server on Oracle Sunfire for Web Facing Applications5 IBM SWG Internal Study IBM WAS on Power Provides Greater Throughput at a lower cost than than leading competitor 6 IBM SWG Internal Study IBM WebSphere Message Broker on Power gives 12.8X Times More Throughput than Microsoft BizTalk Server on Dell

Power Systems and IBM Software integration and optimization


Heavy UNIX online banking workloads1,075 trans/sec

Heavy UNIX online banking workloads1,075 trans/sec

Delivering services with superior economics


*Statement of Direction*Statement of Direction

Achieves overall lowest cost per workload

Achieves overall lowest cost per workload

zEnterprise offers the industry’s broadest architecture


zEnterprise reduces network cost and complexity


Consolidate Workloads

• How would I reduce the Total Cost of Ownership?

• How would I better manage my data center complexity?

Consolidate Workloads

• How would I reduce the Total Cost of Ownership?

• How would I better manage my data center complexity?

Re-deploy Existing Workloads

• How would I improve the performance?

• How can I improve my service levels?

Re-deploy Existing Workloads

• How would I improve the performance?

• How can I improve my service levels?

Deploy New Workloads

• How can I rapidly deploy a workload leveraging existing skills?

• How would I scale my infrastructure with mybusiness?

Deploy New Workloads

• How can I rapidly deploy a workload leveraging existing skills?

• How would I scale my infrastructure with mybusiness?

Entry points to optimize workloads


Consolidate workloads to reduce costs

ExampleConsolidate x86 server landscape to Linux on System z

Benefits• Consolidate hundreds of servers to one• Decrease costs 30-50 percent

Performance, reliability, disaster recovery, server provisioning and cost efficiency have all seen dramatic improvements—helping BCBSM deliver better service and better value to its members across the state.— BCBSM

Performance, reliability, disaster recovery, server provisioning and cost efficiency have all seen dramatic improvements—helping BCBSM deliver better service and better value to its members across the state.— BCBSM


Redeployed workload from Intel Xeon processor-based servers to IBM BladeCenter PS701 blades running Linux to reduce complex calculation times fromone month to one week.— UMASS DARTMOUTH

ExampleRedeploy x86 workloads to POWER7 with Linux via IBM Migration Factory

Benefits• Improve performance 10x or more• Improve service quality

Re-deploy workloads to improve performance


Deployed Netezza achieving ~100x improvements for query response times, while also improving ability to comply with regulatory obligations.— NYSE

ExampleDeploy analytics workloads on Netezzaleveraging IBM Information on DemandInfrastructure Services

Benefits• Realize up to 100x performance

improvements at a third of the cost• Significantly reduce in deployment times• Scale with demand growth, without

requiring application changes

Deploy new workloads on optimized systems


Deploying new workloads on POWER7 and re-deploying existing Cognos workloads from x86 to z196 for scaling

Projects and capabilities• Deploy workloads on zEnterprise for

security and simplified management • Redeploy workloads for scale and

increased productivity

Primerica is on the smarter computing journey

Information Technology Overview

PrimericaDavid WadeChief Information OfficerExecutive Vice PresidentPrimerica Financial Services


Primerica

Headquartered in Duluth, GA Leading distributor of financial products to middle income households in

North America Underwrites term life insurance, mutual funds, variable annuities, loans and

other financial products ~ 95,000 licensed sales representatives who assist clients Insures 4.3 million lives and more than two million clients maintain investment

accounts with the company


Leading IT organizations are partnering with IBM to benefit from Optimized Systems.Why?

• Experts and expertise to help any client craft a strategy to consolidate and optimize their workloads.

• IBM offers systems that enable clients to optimize any workload

• Ability to transform current environment—no “rip and replace” required.


Semiconductor Technology

Microprocessor Design

Systems Design

Virtualization & Operating Systems


Machine

Optimized Middleware

Anatomy of an Optimized System: System z

• World’s fastest chip at 5.2 GHz

• More cache for superior data serving

• On-chip crypto and data compression

• Instruction co-optimized with compilers

• Optimized I/O pathways & subsystems with massive scale

• Best-of-breed reliability, availability & serviceability

• RAIM memory for high availability

• Integrated cryptographic coprocessor

• Highest security certification in industry (EAL5 & FIPS)

• Multi-platform design of mainframe and distributed technologies

• Designed for highest utilization with heterogeneous workloads

• SLA management of heterogeneous workloads based on business policies

• Granular, scalable Virtualization of servers, memory and I/O with low overhead

• PR/SM and z/VM offer two-tier approach for superior virtualization supporting native Linux

• Dispatching on z/OS keeps software close to cache for optimized performance

• Intelligent management of mainframe & distributed technologies

• Java Compiler optimized to exploit hardware architecture

• WebSphere, MQSeries, DB2 exploit multi-system workload management ,scale and availability

• Middleware optimized and tuned to scale up

• Tivoli optimized for operations management and security

• eDRAM cache integrated on processor chip

• Efficient packaging• 2x transistor

density*• 28% increased

transistor speed*• 4x array density*


Anatomy of an Optimized System: POWER7


Technology


Design



Systems

Compilers & Java Virtual Machine

IBMOptimized

Middleware

• eDRAM cache integrated on processor chip

• Efficient packaging

• 2x transistor density*

• 28% increased transistor speed*

• 4x array density*

• Multi-core chips (8 cores)

• Simultaneous multi-threading

• Turbo-core mode for thread performance & max core for throughput performance

• Enterprise reliability, availability & serviceability

• Intelligent failure detection and recovery

• Large memory with high bandwidth

• Designed for 90%+ utilization

• Secure isolation of virtual machines

• Balanced I/O & compute

• Granular, scalable virtualization of servers and I/O with low overhead

• Energy scale technology

• Dynamic thread and memory optimization

• Integrated, intelligent management

• Joint optimization of compiler and microprocessor for optimum performance

• Intelligent operating system task dispatching to minimize impact of non-uniform memory access

• Middleware optimized to exploit hardware architecture (workload management, storage keys, page sizes etc.)

• Scale out with no loss of performance

• Clustered memory and lock management

• Optimized threading and memory management

* relative to Power6* relative to Power6