4 ims zenterprise v110531 - ibm · – up to 3 tb for system and up to 1 tb per lpar • fixed hsa,...

© 2010 IBM Corporation

IBM zEnterprise

IBM zEnterpriseDe Nouvelles Options d’Intégration

IMS et System z : un Atout pour l’Avenir31 mai 2011

Isabelle Ringwald – FTSS IBM System z - [email protected]


Smarter Systems for a Smarter Planet

AGENDA

� zEnterprise Introduction and Product Positioning

� zManager : Unified Resource Manager

� Fit for Purpose : a matter of Workloads



z196TLLB3

Information technology today is limited by the technology and architecture

configurations available.

Information technology today is limited by the technology and architecture

configurations available.

DS Servers

LAN Servers

SSL/XMLAppliances

CachingAppliances

RoutersSwitches

FirewallServers

File/Print ServersBusiness Intelligence

Servers

Security/Directory Servers

Web Servers

Application Servers

System z

Information technology today: Limitations

Business processes and applications are hosted on heterogeneous IT infrastructures

�Connected

� Integrated

� Flexible, Dynamic, and Responsive

� Intelligent and Aligned with Business Service Objectives

� Customers need better approach: The ability to manage the IT infrastructure and Business Application as an integrated whole.



19

2. I/O Bound – e.g. high I/O content applications

9. Protocol Serving – e.g. static HTTP, firewall, etc.

3. Mixed Low – e.g. multiple, data-intense applications or skewed OLTP, MQ

1. Data Intensive – large working set and/or high I/O content applications

4. Mixed High – e.g. multiple, cpu-intense simple applications

8. Skewless OTLP – e.g. simple and predictable transaction processing

7. Java Heavy – e.g. cpu intensive java applications

6. Java Light – e.g. data intensive java applications

5. Database – e.g. Oracle DBMS or dynamic HTTP server

10. CPU Intensive – e.g. numerically intensive, etc.

Optimal forSystem z

Optimal for other platforms

Workload performance varies by application and can be best served by different platforms or the right mix of multiple platforms.

Application Performance Characteristics – what fits on which platform?

Thread Speed

Thread Count

High

Low

High

Low

Low

High

Server Server

DesignDesign Effective Cache/ Thread

Fitness Proxies:

•Thread Speed – Serial Fitness•Thread Count – Parallel Fitness•Cache/Thread – Data Fitness

Thread Speed

Thread Count

High

Low

High

Low

Low

High

Server Server

DesignDesign

High

Low

High

Low

Low

High

Server Server

DesignDesign Effective Cache/ Thread

Fitness Proxies:

•Thread Speed – Serial Fitness•Thread Count – Parallel Fitness•Cache/Thread – Data Fitness



Mainframe UNIX

UNIX WindowsUNIX

UNIX

Workload Optimization Requires Multiple PlatformsManage end-to-end application elements as an integrated systemWith Mainframe Quality of Service

�Application Database

�Data Warehousing

�Online Transaction Processing

�Batch

�Systems Management

�Web Serving/Hosting

�Networking

�File & Print

�Data Mining Applications

�Numerical

�Enterprise Search

�Enterprise Resource Planning

�Customer Relationship Management

�Application Development

Transaction Processing & Database

Analytics & High Performance Computing

Business Applications Web, Collaboration & Infrastructure



2010+

Integrated Optimizers

Hybrid Supercomputing

Hybrid Gameframe

Hybrid Systems

2001

Workload Optimized Systems

Specialty Workload Engines

An evolution of Optimized System Designs . . .

Java



z196TLLB7

zEnterpriseUnified Resource Manager

– Unifies resources, extending System z qualities of service across the infrastructure

– Install, Monitor, Manage, Optimize, Diagnose & Service

Optimizers

– Workload specific accelerators to deliver a lower cost per transaction, appliance for example IBM Smart Analytics Optimizer

IBM Blades

– Runs app unchanged and supports what you know. Logical device integration between System z and distributed resources

– The industry's fastest and most scalable enterprise server

– Ideally suited for large scale data and transaction serving and mission critical enterprise applications

HMHM

CC

Integration and centralized management by System z

IBM zEnterprise SystemThe integration of Superior technologies

The world’s fastest !

zEnterprise 196z196

zEnterprise BladeCenter Extension

zBX



IBM zEnterprise :

z196TLLB9

IBM zEnterprise 196 (z196) IBM zEnterprise BladeCenter Extension (zBX)

AZ EDCB

IBM zEnterprise Unified Resource Manager (zManager)



System zEntreprise Hardware Components

System z CPC zBX Infrastructure

Rack

Ethernet & FC Cables

Opt: Heat Exchanger, Power cord types

Top-of-Rack Switch

BC Switches (ESM, FC)

Blade Center Chassis

Power Dist. Units

*All statements regarding IBM's plans, directions, and intent are subject to change or withdrawal without notice. Any reliance on these Statements of General Direction is at the relying party's sole risk and will not create liability or obligation for IBM.

HS22 Blade (BI/SAO)

Blades

DataPower Blade (SOD)

HPC Blade (Future)

Power BladeIntel Blade (SOD)



A look inside the IBM zEnterprise System Enabling a new dimension in application architecture

Sys

tem

z H

ard

ware

Ma

na

gem

en

t C

on

so

le (

HM

C)

wit

h U

nif

ied

Reso

urc

e M

an

ag

er

zBX

Select IBM Blades

Blade HW Resources

Optimizers

IBM

Sm

art

An

aly

tic

s O

pti

miz

er

z HW Resources

z/OS

z/TPF

z/VSETM

Linux onSystem z

Support Element

Linuxon

System z

z/VM

Private High Speed Data Network IEDN

Private Management Network INMN

Unified Resource Manager

Private data network (IEDN)

Customer Network Customer Network

System z Host

Linux on System x 1

AIX on POWER7

Da

taP

ow

er

1

Fu

ture

Off

eri

ng

Fu

ture

Off

eri

ng

Blade Virtualization Blade Virtualization

System z PR/SM™



z196TLLB12

� Machine Type : 2817

� 5 Models

– M15, M32, M49, M66 and M80

� Processor Units (PUs)

– 20 (24 for M80) PU cores per book

– Up to 14 SAPs per system, standard

– 2 spares designated per system

– Dependant on the H/W model - up to 15,32,49,66 or 80 PU

cores available for characterization• Central Processors (CPs), Integrated Facility for Linux (IFLs),

Internal Coupling Facility (ICFs), System z Application Assist Processors (zAAPs), System z Integrated Information Processor (zIIP), optional - additional System Assist Processors (SAPs)

– Sub-capacity available for up to 15 CPs• 3 sub-capacity points

� Memory (RAIM)

– System Minimum of 32 GB

– Up to 768 GB per book

– Up to 3 TB for System and up to 1 TB per LPAR• Fixed HSA, standard

• 32/64/96/112/128/256 GB increments

� I/O

– Up to 48 I/O Interconnects per System @ 6 GBps each

– Up to 4 Logical Channel Subsystems (LCSSs)

� STP - optional (No ETR)

z196 Overview



13131313

IBM zEnterprise : Le serveur d’entreprise le plus rapide et le plus évolutif de l’industrie

131313

Processeur superscalaire à 5.2 GHz

Jusqu’à 96 Cores, dont 80 configurables pour utilisation client

IFL, zIIP, zAAP, ICFs et SAPs (optionnels)

Jusqu’à 3 TB de mémoire RAIM*

15 profils de “subcapacity”

Améliorations de la Cryptographie

Refroidissement par eau optionnel

60%avec

de capacitéenplus

60%Jusqu’à

d’amélioration desperformances

d’améliorationdesperformances

35%pour

de coûts en moins

Jusqu’à40%

Amélioration majeure par rapport au z10 :

Pour Linux Pour z/OS

� Sans augmentation de consommation énergétique

� Performances encore meilleures avec de nouveaux logiciels ou des applications recompilées

* Redundant Array of Inexpensive Memory



z196TLLB14

2458-002

Fibre ChannelDisk Storage

� Machine Type/Model 2458-002– One Model with 5 configurations for IBM Smart Analytics Optimizer

� Racks – Up to 4 (B, C, D and E)– 42U Enterprise, (36u height reduction option)– 4 maximum, 2 chassis/rack– 2-4 power line cords/rack – Non-acoustic doors as standard– Optional Acoustic Doors– Optional Rear Door Heat Exchanger (conditioned water required)

� Chassis – Up to 2 per rack– 9U BladeCenter – Redundant Power, cooling and management modules– Network Modules– I/O Modules

� Blades (Maximum 112 in 4 racks)– IBM Smart Analytic Optimizer Blades (up to 7 to 56)

– Can not mix other Blades in the same Chassis– Customer supplied POWER7 Blades (up to 112)– Customer supplied System x Blades* (up to 112)– WebSphere DataPower Appliances* (up to 28)– Non-IBM Smart Analytic Optimizer Blades can be mixed in the same

chassis� Management Firmware

– Unified Resource Manager� Top of Rack (TOR) Switches - 4

– 1000BASE-T intranode management network (INMN)– 10 GbE intraensemble data network (IEDN)

� Network and I/O Modules– 1000BASE-T and 10 GbE modules – 8 Gb Fibre Channel (FC) connected to customer supplied disks– IBM Smart Analytic Optimizer uses DS5020 disks

– DS5020s not shared with Customer supplied Blades

zBX Overview

*All statements regarding IBM future direction and intent are subject to change

or withdrawal without notice, and represents goals and objectives only.



z196 zBX Hardware Components

z196TLLB15

zBX Infrastructure Blades

IBMSmart Analytics Optimizer

System x Blades*

POWER7 Blades

Rack

Ethernet & FC Cables

Opt: Heat Exchanger, Power cord types

Top-of-Rack Switch

BC Switches (ESM, FC)

Blade Center Chassis

Power Dist. Units

WebSphere DataPower Appliance*

* All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represents goals and objectives only.

zBX

Model 002



z196TLLB16

2458-002

Fibre ChannelDisk Storage

� BladeCenter PS701 Express Power7– One Model with 5 configurations for IBM Smart

Analytics Optimizer

– Three Models with 32, 64 or 128GB memory for AIX

5.3 (level 12) or 6.1 (level 5) and later

� Capacity – 1 chip = 8 cores

– 3.0 GHz

– 1 Blade PS701 = 1 chip = 81,24 rRerf

– 1 core = 10,15 rPerf

� Software pricing�1 Blade = 1 chip = 560 PVUs

�1 core = 70 PVUs

zBX characteristics

*All statements regarding IBM future direction and intent are subject to change

or withdrawal without notice, and represents goals and objectives only.



AGENDA





Smarter Systems for a Smarter Planet Unified Resource Manager

� Objective

– Provide IT resources to the workloads to meet their business objectives

– Objectives expressed in a policy

� Operational scope

– The zEnterprise ensemble as a single resource space

SE

Advanced Management ModuleLPAR

zOS z/VMzLinux

zOS zLinux zLinux zLinux zLinux

pHYP xHYP

pServerpServer Linux Linux

z196

SE

Advanced Management ModuleLPAR

zOS z/VMzLinux

zOS zLinux zLinux zLinux zLinux

pHYP xHYP

pServerpServer Linux Linux

z196

zEnterprise Ensemble

HMC



What is it?

An ENSEMBLE is a group of one or more zEnterprise Systems to be managed as one single logical virtualized system. Each zEnterprise is a single z196 with 0-1 zBX attached.

Now business objectives can be put in terms of a performance policy for a workload that spans across the ensemble – the multiple systems.

When multiple workloads are running across the ensemble, each can have it’s own business objectives, and Unified Resource Manager (zManager) can share the resources to meet all the business objectives.

How is it different?• Workload awareness:

Unified Resource Manager is able to optimize the total resources in the ensemble in accordance with the policies set for different workloads

• Single point of control:Management of all resources in the ensemble is centralized on one Hardware Management Console. Dashboard monitoring of CPU resources and energy can allow time to react and make adjustments if necessary

• Integration: The integrated management and built in networks of the ensemble are designed to reduce errors associated with distributed configurations. Reduction of complexity in day-to-day operations.zEnterprise System

Ensemble

z196

IBM zEnterprise Ensemble

Clustering heterogeneous systems

=

zBX

+

Hypervisors

Networks

Performance

VirtualServers

Energy


(zManager)

Operations

+



Management stackBuilding an architectural construct of hardware, software, services

z196TLLB20

� Visibility, Control and Automation for Applications, Transactions, Databases and Data Center Resources

� End-to-End Workload Management and Service Level Objectives that Align IT Management with Business Goals

� Common Usage and Accounting for business accounting

� Dynamic/Centralized Management of Application Workloads based on Policies

� Business Resilience for multi-site recovery

� End-to-end Enterprise Security

� Workload based Resource Allocation and Provisioning for zEnterprise

� Physical and Virtual Resource Management (Server, Storage, Network)

� Goal Oriented Resource Management of zEnterprise (Availability, Performance, Energy, Security)

� Ensemble Network and Storage Management

� Configuration management for hardware / firmware

� Operational controls for the hardware / firmware

� Service and Support for the hardware / firmware

� Lifecycle management for the platform’s virtual resources

Platform ManagementPlatform Management

Service ManagementService Management

Hardware ManagementHardware Management

Unified Resource ManagerUnified Resource Manager

� Hypervisor management and creation of virtual networks

� Operational controls, service and support for hardware / firmware

� Network management of private and secure data and support networks

� Energy monitoring and management

� Workload awareness and platform performance management

� Virtualization management – single view of virtualization across the platform

Extending with



Built on this construct – zEnterprise – Innovation at every level

z196TLLB21

* All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represents goals and objectives only.

Platform Management

Service Management

Hardware Management

FIRMWARE

MULTIPLE OPERATING SYSTEMSe.g., z/OS, z/TPF, z/VSE, z/VM,

Linux on zAIX

MIDDLEWARE

APP APP APP APP APP APP

Linux on System x*

VIRTUALIZATION

System z Power® System x* IBM Appliances

Focused, collaborative innovation

A “complete systems” approach




HMCHMC

Hypervisors Energy

Networks

Energy Management▀ Monitoring and trend reporting of CPU

energy efficiency.▀ Static power savings▀ Ability to query maximum potential

power.

Performance

VirtualServers

Operations

Operational Controls▀ Auto-discovery and configuration

support for new resources.

▀ Cross platform hardware problem detection, reporting and call home.

▀ Physical hardware configuration, backup and restore.

▀ Delivery of system activity using new user.

Hypervisor Management▀ Integrated deployment and

configuration of hypervisors▀ Hypervisors (except z/VM®) shipped

and serviced as firmware.▀ Management of ISO images.▀ Creation of virtual networks.▀ Manage and control communication

between virtual server operating systems and the hypervisor.

Network Management▀ Management of virtual networks including access control

▀ Single view of virtualization across platforms.

▀ Ability to deploy multiple, cross-platform virtual servers within minutes

▀ Management of virtual networks including access control

Virtual Server Lifecycle Management

▀ Wizard-driven management of resources in accordance with specified business service level objectives

▀ HMC provides a single consolidated and consistent view of resources

▀ Monitor resource use within the context of a business workload

▀ Define workloads and associated performance policies

Workload Awareness and Platform Performance Management

zEnterprise hardware management and platform management …

Key▀ Manage suite▀ Automate suite

Save time, cost and simplify asset management

Decrease problem determination and resolution time for cross-platform resources

Improve and simplify cross-platform availability procedures

Enable broader and more granular view of resource consumption

Factory installed and configured network

Improved network security with lower latency, less complexity, no encryption/decryption

Allow critical workloads to receive resources and priority based on goal-oriented policies established by business requirements

Smart business adjustments based on workload insight

Provide deep insight into how IT resources are being used

Gain flexibility, consistency and uniformity of virtualization

Provide the business with faster time to market

Simplified network management for applications

… and made possible by the Unified Resource Manager

Simplified installation of hypervisors

Gain significant time to market with improved speed of deployment

Simplified installation of hypervisors

Gain significant time to market with improved speed of deployment

Simplified energy management

Energy cost savings



zEnterprise System – 196 + zBX + Unified Resource Manager

z196TLLB23

Blade Virtualization

Linux on System xBlades*

zBX

Blade Virtualization

AIX® on POWER7Blades

IBM Blades

Blade HW Resources

Optimizers

Fu

ture

Off

eri

ng

IBM

Sm

art

An

aly

tics O

pti

miz

er

Fu

ture

Off

eri

ng

Customer Network Customer Network

z HW Resources

System z PR/SM™

zE

nte

rprise

Ha

rdw

are

Ma

na

ge

men

t C

on

so

le

z196

z/OSz/TPF z/VSE

Linuxon

System z

z/VM

Support Element

Linuxon

Systemz

with

Un

ifie

d R

esou

rce

Ma

na

ge

r

Intraensemble data network

Intranode management networkEnsemble Management

Firmware

We

bS

ph

ere

Da

taP

ow

er

Ap

plia

nc

e*

Intraensemble data network

*All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represents goals and objectives only.



AGENDA






IBM zEnterprise Ensemble

z/OS z/VM

PR/SM xHYP

AIX

PowerHypervisor

I/O Sub-system

Power Blades Intel Blades

Workloads Workload Workload

Linux Image

Linux Image

Linux Image

� Different workloads have different characteristics

� Deploy or consolidate workloads on the environment

best suited for each workload



Workload Attributes and Market Segmentation

Mixed Workload – Type 1

• Scales up

• Updates to shared data and work queues

• Complex virtualization

• Business Intelligence with heavy data sharing

Parallel Data Structures – Type 3

Small Discrete – Type 4

Application Function Usage Pattern SLA Data StructureIntegration

Highly Threaded – Type 2

• Scales well on clusters

• XML parsing

• Buisness intelligence with little data sharing

• HPC applications

• Scales well on large SMP

• Web application servers

• Single instance of an ERP system

• Some partitioned databases

• Limited scaling needs

• HTTP servers

• File and print

• FTP servers

• Small end user apps



One size does not fit all -Pfister’s Paradigm and “Temple’s Assertion”



How to choose the right platform ? F4P Approach

Pla

tfo

rm c

ap

ab

ilit

y

Platform A Platform B

Local Factors

Local Factors

Local Factors Matter• Skills• Organizational • Technology

adoption• Strategic direction• ISV support

Business Applications

Transaction Processing and Database

Web, Collaboration and Infrastructure

Analytics and High Performance

Workloads Matter

Data and Application Integration Matters

Non Functional Requirements Matter• Business Continuity• Manageability• Performance & scalability• Flexibility• Security• Workload management



F4P Approach Review

• Step 0: Understand customer‘s context, pain points and local factors• Step 1: Identify the workloads and its system context• Step 2: Understand the main components of the workload• Step 3: Data integration requirements• Step 4: Application integration requirements• Step 5: Understand the Non Functional Requirements of the workload• Step 6: Application components best fit• Step 7: Agreement on potential deployments to assess• Step 8: Topologies assessment and added value



Step 1: Identify the workloads and its system context

System Name

(workload#1)

Stand-alone

System 1

Stand-alone

System 2

On-line User 1

Batch Input

Interface

Batch Output

Interface



Step 2: Identify and understand the workloads

3rd partyInformationProviders

Enterprise Service Hub

BusinessIntelligence& Analytics

Data Integration/Information Services

Core Systems

Multi-ChannelIntegration

Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs

Eventsand Rules Business Process

Services





Core Systems


Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs


Services

Information Information Integration Integration

Services (ETL)Services (ETL)

Analytics Analytics ServicesServices

Risk Risk Information Information WarehouseWarehouse

Risk analysis Risk analysis Reporting Reporting ServicesServices

Banking Banking Operation Operation

DataData


DataData



Step 3: Data integration requirements

3rd party

InformationProviders

Enterprise Service HubEnterprise Service Hub

Core SystemsBusiness Process

Services

3rd partyInformation

Provider

Data Integration /Information Services


Eventsand Rules

Enterprise Service Bus


Customer

Call Centers

Internet

Channels

Branches

Mobile Banking

ATMs

Call Centers

Internet

Branches

Mobile Banking

ATMs

Master Data

Production Data

Operational Data Store

Data Warehouse

Data Marts

Master Data N/A

Production Data

Real time synchronization

ETL

Daily batchFederation,

Synch

Operational Data Store

ETL

Daily Batch

Data Warehouse

ETL

Weekly Batch

Data Marts

Data Non Functional Requirements

/

Type of data

Value

Data Security M

Data Volatile ness H

Data consistency H

Data latency M

Data availability H

ProdSAP

ProdCore

Banking

ODS

DWMarts



Step 4: Application integration requirements

Message ModelsMessage Models

Mediation FlowsMediation Flows

Communication ProtocolsCommunication Protocols


Interaction Patterns

Mediation Patterns

MetamodelsMessage Models

Message Models

Mediation FlowsMediation Flows

Communication ProtocolsCommunication Protocols


Interaction Patterns

Mediation Patterns

Metamodels

� Communication Protocols � Critical (e.g. SOAP/HTTP, pub/sub)

� Accommodated

� Messaging backbones (MQ, Tibco, etc)

� “Associated” standards (e.g., WS-Security, headers)

� Standard APIs (e.g., JMS)

� Adapters (e.g. SAP)

� Interaction Patterns� One-way (fire and forget)

� Synchronous

� Asynchronous

� Asynchronous with acknowledgement

� Publish/Subscribe

� Complex event processing

� Relationship to QoS at the ESB endpoints� Security – AAA, encryption

� Guaranteed Delivery

� Transactionality





Core Systems


Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs


Services





Core Systems


Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs


Services







DataData


DataData



Step 5: Understand the Non Functional Requirements of the workload





Core Systems


Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs


Services





Core Systems


Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs


Services







DataData


DataData

NFRs characteristics & constraints

Performance-Requirement:-Achievement:

Scalability-Requirement:-Achievement:

-Security-Requirement:-Achievement:

NFRs characteristics & constraints

High Availability-Requirement:-Achievement:

Manageability-Requirement:-Achievement:

Disaster Recovery-Requirement:-Achievement:







Core Systems


Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs


Services





Core Systems


Customer

Call Centers

Internet

Branches

Mobile Banking

ATMs


Services

Step 6: Application components best fit




Analytics ServicesAnalytics Services

Logic

-CPU intensive-Parallel data structure-Moderate thread interaction-High thread count



Logic

I/O intensive-Mixed data structure-Moderate thread interaction-High thread count

-CPU intensive-Mixed data structure-Moderate thread interaction-High thread count



Risk Analytics Risk Analytics ServicesServices

Logic


DataData


DataData

RAW WORKLOAD FIT

(Bubble Si ze i s Paral le l F i t ness)(Bubble Si ze i s Paral le l F i t ness)(Bubble Si ze i s Paral le l F i t ness)(Bubble Si ze i s Paral le l F i t ness)

0000

0,20,20,20,2

0,40,40,40,4

0,60,60,60,6

0,80,80,80,8

1111

0000 0,20,20,20,2 0,40,40,40,4 0,60,60,60,6 0,80,80,80,8 1111

DATA FITNESS

SER

IAL FITN

ESS

Workload Parallel Nirvana Parallel Hell Parallel Purgatory



Information Information Integration Services Integration Services

(ETL)(ETL)

Analytics ServicesAnalytics Services

Logic

Banking Operation Banking Operation DataData

Data

Banking Operation Banking Operation DataData

Data

Risk Information Risk Information WarehouseWarehouse

Data

Risk Analysis Risk Analysis Reporting ServicesReporting Services

Logic DataName Risk

Analysis reporting

Analytic services

Risk DW

Information services

Core Systems

Distributed Blade Blade X86 X86 z/OS

HE Power Blade Blade HE HE z/OS

Integrate into System

zEnterprise

zBX zBX z/OS zBX z/OS

Consolidation zLINUX

Linux z Linux z Linux z Linux z z/OS

Logic(Batch)Data

Deployed on z/OS or candidates to z/OS

Candidates to zBX or Blade

Deployed on Linux on System z or candidates to Linux on System z

Candidates to High End Power

Step 7: Agreement on potential deployments to assess



Core BankingCore Banking

Data

Channels Channels ServicesServices

Presentation Logic

Channels Channels ServicesServices

Presentation

Payment Payment applicationapplication

Logic

Payment Payment applicationapplication

Logic Data

PRMPRM

Logic Data

F4P Architectural Thinking

Best practice

Availability 9

Scalability 9

Security 7

Performance 7

Workload Fit 6

Manageability 5

Questionnaire for pain points, Local Factors

� Question 1

� Question 2

� Question 3

Non Functional req.Application patterns

• Oracle RAC vs. DB2 data sharing• DR solutions • Performance benchmarks• WAS on z/OS•Security architecture on SOA•Virtualization techniques

Value of zEnterprise

Feature Value

Ability to for the operational characteristics of the end-to-end multi-architecture infrastructure to be controlled via a single goal-oriented policy

�New Capabilities

�Time to Value

�Increase Efficiency

Having a multi-architecture workload policy - defined from a single, consistent interface

�Quality of Service

�Increase Efficiency

Workload xyz

zEnterprise

Possible target operational models zEnterprise Value

Step 8: Topologies assessment and added value



zEnterprise…

z196TLLB38



Merci !



Trademarks

Notes:

Performance is in Internal Throughput Rate (ITR) ratio based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput improvements equivalent to the performance ratios stated here.

IBM hardware products are manufactured from new parts, or new and serviceable used parts. Regardless, our warranty terms apply.

All customer examples cited or described in this presentation are presented as illustrations of the manner in which some customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics will vary depending on individual customer configurations and conditions.

This publication was produced in the United States. IBM may not offer the products, services or features discussed in this document in other countries, and the information may be subject to change without notice. Consult your local IBM business contact for information on the product or services available in your area.

All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

Information about non-IBM products is obtained from the manufacturers of those products or their published announcements. IBM has not tested those products and cannot confirm the performance, compatibility, or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products.

Prices subject to change without notice. Contact your IBM representative or Business Partner for the most current pricing in your geography.

* Registered trademarks of IBM Corporation

The following are trademarks or registered trademarks of other companies.

* All other products may be trademarks or registered trademarks of their respective companies.

Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries.Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license there from. Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both.InfiniBand is a trademark and service mark of the InfiniBand Trade Association.Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries.UNIX is a registered trademark of The Open Group in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. ITIL is a registered trademark, and a registered community trademark of the Office of Government Commerce, and is registered in the U.S. Patent and Trademark Office.IT Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency, which is now part of the Office of Government Commerce.

The following are trademarks of the International Business Machines Corporation in the United States and/or other countries.

AIX*BladeCenter*CICS*DataPower*DB2*DS8000*FICON*

FlashCopy*GDPS*HiperSocketsIBM*IBM (logo)*IMSParallel Sysplex*

NetWeaver*OMEGAMON*Parallel SysplexPOWER7*PowerVMPR/SM

System StorageSystem z*Tivoli*WebSphere*zEnterprise

zEnterprisez/VM*z/VSE

ZSP03443-USEN-00

4 ims zenterprise v110531 - ibm · – up to 3 tb for system and up to 1 tb per lpar • fixed hsa,...

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