Smarter Computing with System z

Smarter Computing
®

with IBM System z

Steve Mills
Senior VP and Group Executive
IBM Software and Systems
March 23, 2011

Smarter Computing: System z Analyst Summit

Smarter Planet Solutions Increase Demands on IT
1.2 zettabytes (1.2 trillion GB) Internet connected
exist in the “digital universe devices growing
50% YTY growth 42% per year
25% of data is unique; 75% is a copy
Between 2000 and 2010 …
32.6M servers worldwide servers grew 6x
storage grew 69x
85% idle computer capacity
Virtual machines growing
15% of servers run 24/7 without 42% per year
being actively used on a daily basis

Data centers have doubled
their energy use in the past but IT budgets are
five years growing less than
18% increase in data center 0.8% per year
energy costs projected

© 2011 International Business Machines Corporation
2


IT Operating Costs are Out of Control
Worldwide IT Spending on Servers, Power, Physical Server
Cooling and Management Administration Installed Base
Spending (Millions)
US$ (B)
$250
50
Power and cooling costs
45
$200 Server mgmt and admin costs
40
New Server spending
35
$150
30
25
$100 20
15
$50 10
5
$0 0
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Source: IDC

3


Resulting Sprawl Drives Unsustainable Costs

Cost to Manage Growth
of Inventory Consumes
IT Budget

4


Strategies to Reduce Costs and Improve Value
Optimize the Overall IT Environment

Consolidate Hardware
Infrastructure

Appl Appl Appl Appl SOA
Appl Appl
Eliminate Redundant
Software and Data Compress
Deduplicate
Integrate
Archive

Integrated Service
Improve Management
Service Delivery
Visibility Control Automation Cloud Computing

5


Meeting These Challenges

Leading clients are
already addressing this
IT conundrum through:

Smarter Computing
Strategies to transform IT to deliver
breakthrough economics and value

6


IBM Internal IT Infrastructure Evolution
IT Simplification

Sprawl Consolidated Service Pooling Integration
Public
Services Cloud Private
V V
Cloud
V V V
V V
V V Smarter Computing

Key Technologies

Comprehensive virtualization Service Oriented Architecture
Ensembles and scalable servers End-to-end service management
Converged networks Cloud computing services

7


IBM IT Transformation = Cost Savings

Consolidated and virtualized
over 3,900 server images onto
30 System z mainframes

80% less energy used 1997 Today
Host Data
155 7
85% less floor space … Centers
a 16,500 sq. ft. reduction Web
Hosting 80 5
Centers
Cumulative benefit yield of
Network 31 1
$ 4.1B over the last 5 yrs Applications 15,000 4,700

8


Optimize Server Utilization
Example of
IBM Solution
Reduce Server Sprawl Automate Processes

Reduce # of Data Centers Automation
Consolidate Servers Provisioning
Server Virtualization Workload Scheduling
Asset Management zEnterprise
Hybrid workload
consolidation
Optimize Service
Manage Workloads Delivery
Delivers the lowest
cost per workload for
the widest variety of
workloads
Workload Optimized Integrated Service
Systems – Best Fit Management (ISM)
Self-provisioned
Cloud Services

9


zEnterprise

zEnterprise Unified zEnterprise BladeCenter
IBM zEnterprise 196 (z196)
Resource Manager Extension (zBX)

The Next generation of Centralized management of Integrated IBM POWER7
mainframe technology, heterogeneous resources blades and IBM x86 Blades
more performance, more for simplification and High performance
scale, more efficient resiliency optimizers and appliances
Optimized to host large Unifies management of to accelerate time to insight
scale database, resources, extending IBM and reduce cost
transaction, and mission System z qualities of
critical applications service end-to-end across
workloads
10


IBM zEnterprise Provides a New Dimension in
Cloud Computing
Unified management for a Scale out to a trillion
The world’s fastest and most
smarter system: instructions per second:
scalable system:
IBM zEnterprise IBM zEnterprise BladeCenter®
IBM zEnterprise™ 196 (z196) Unified Resource Manager Extension (zBX)
(zManager)

Broad Network Resource Pooling
Access 1000s of virtualized systems
Very large number of end across a heterogeneous
user access from multiple resource pool
sources including mobile
devices

Rapid Elasticity Measured Service
A new dimension of Meter, monitor, and track
Scale. Most efficient workloads for chargebacks
platform for Large-scale and capacity expectations
Linux consolidation On Demand Self-Service
Automate provisioning and service
requests reducing provisioning cycles
from weeks to minutes

11


A Look Inside the zEnterprise System
System z Hardware Management Console (HMC)

System z Host Select IBM Blades Optimizers

IBM Smart Analytics Optimizer
with Unified Resource Manager

z/TPF
z/VSETM

Future Offering

Future Offering
Linux

DataPower 1
Linux on AIX on
z/OS Linux on on System x 1 POWER7
System z System z

z/VM
Blade Virtualization Blade Virtualization

System z PR/SM™

z HW Resources Blade HW Resources

Support Element zBX

Private data network (IEDN)

Unified Resource Private Management Network INMN
Manager Private High Speed Data Network IEDN
Customer Network Customer Network
1 All statements regarding IBM future direction and intent are subject to change or
withdrawal without notice, and represents goals and objectives only.

12


IBM zEnterprise
Lowering TCO of Distributed Workloads Through Optimal Platform Selection
Optimize distributed work on zEnterprise with
Linux on System z, POWER7 blades and Intel
blades with Unified Resource Manager

Current data center:
Distributed workloads on a variety of
Intel servers, connected to a System z

Lower cost of acquisition by up to 56%*

Reduce cost of ownership by up to 55%*
• Based on IBM analysis of a large Financial Services company Datacenter. See details on ibm.com/systems/zenterprise/
• Deployment configurations based on IBM studies and will vary based on workload characteristics. Price calculations based on publicly available US list prices, prices will vary by country.

13


The Cost of Duplicating a 2TB Database

Duplicated
Enterprise Data
WAN

2TB 2TB

Cost of storage for send file Cost of storage for receive
$12.33/GB x 2048 GB
$25,252 Annual Additional file and data mart $61,112
System z Storage Admin
Infrastructure Costs $14.92/GB x 2048 GB x 2 copies
$12,042
$5.88/GB/yr x 2048 GB Distributed Storage Admin
$151,613 $12.99/GB/yr x 2048 GB x 2 copies
$53,207

System z CPU cost ETL $2,826 On Premises Network Distributed CPU cost ETL
$1.38/GB x 2048 GB $20 $799
$0.0024/GB x 2048 GB x 4 hops $0.39/GB x 2048 GB
System z CPU cost FTP $1,188 Off Premises Network Distributed CPU cost FTP
$0.58/GB x 2048 GB $1,188 $96
$0.29/GB x 2048 GB x 2 hops $0.05/GB x 2048 GB
System z ETL Labor $9 Distributed ETL Labor
$9.33/job Cost per Transfer $14.00/job
$14
System z FTP Labor
$5.88/job
$6 $6,146
14


Annual Costs of Duplicating 3 Data Marts Off Platform
Original System z Storage
Costs (1 year)
Cost of original storage $25,252
2TB Storage administration $12,042

TOTAL $37,294

Enterprise Cost of Duplication
WAN (3 marts, once per day, 1 year)
Additional z Storage $25,252
2TB Additional Dist Storage $550,011
CPU cost ETL z and Dist $3,969,331
Off premise network $1,406,085
On premise network $1,322,213
Storage admin z $12,042
Storage admin Dist $159,621
2TB Labor ETL $1,046,378
2TB Duplicate Labor FTP $263,725
once per day
TOTAL $8,754,659
Original Data Duplicated Data
15


zEnterprise Reduces Network Cost and Complexity
25 heavy
Deploy on Intel workloads Best Fit on z Enterprise
240 heavy I/O 235 light
Workloads workloads

Additional network parts Additional network parts
16 340 308 1 10 10
switches cables adapters switch cables adapters
664 total network parts 21 total network parts
$0.2M TCA $0.03M TCA

Network configuration is based on IBM internal studies.
Prices are in US currency, prices will vary by country

16


SAP Applications Cost 20% Less on zEnterprise
20 front-end SAP 38 SPARC T3-1B
applications on older Blades in SUN Rack
SPARC T2+ servers 608 cores total
T3-1B z196
20 Upgrade to $1.2M
Workloads new 3yr TCA
SPARC T3 HW+SW

20%
Less
20 z196
23 POWER7
SPARC T5440
32 core servers Blades in zBX
538,120 total SAPs 184 cores total
zBX z196
640 cores total
$3.4M POWER $0.97M
Blades in 3yr TCA
zBX HW+SW
17


Running Web Front End Workloads Cost 58% Less
Competitive
28 front-end Application Server
applications on older 57 SPARC T3-1B
SPARC T2+ servers Blades in SUN Racks
2 HP DL380 Servers
(for ESB) T3-1B DL380 z196

28 Workloads 936 cores total Upgrade to $11.7M
each driving new 3yr TCA
1,975 tps SPARC T3 HW+SW

58%
Less
28 z196
SPARC T5440 WebSphere
32 core servers Application Server
2 HP DL380 Servers 28 POWER7 Blades zBX z196
(for ESB)
2 DataPower X150z
$23.7M in zBX POWER $4.9M
Blades in 3yr TCA
224 cores total zBX HW+SW 18


Linux on z196 is the Most Efficient Platform for
Large-scale Consolidation
Lower acquisition costs of hardware and software vs. distributed
servers – 74% less than Nehalem*
Less than $335 per year per virtual server (TCA)*
Reduce floor space by up to 90% compared to distributed servers*
Reduce labor costs by up to 70% compared to distributed servers

Consolidate 40 Oracle server cores onto 2 Linux cores on zEnterprise
Consolidation on System z
$2.0
US$ Millions

$1.5
39% less than
Nehalem
$1.0 Hardware Maintenance
74% less than
Hardware
$0.5 Nehalem
Software Service & Support
Software OTC
$0.0
New X86 z10 z196
* Distributed server comparison is based on IBM cost modeling of Linux on zEnterprise vs. alternative
distributed servers. Given there are multiple factors in this analysis such as utilization rates, application 19
type, local pricing, etc., savings may vary by user.


zEnterprise
Broadest Architectural Support for Private Clouds

Fit-for-Purpose
z/OS Linux on AIX on Power Appliance Linux on
System z Blades Blades System x Strategy
Blades*
Workload Workload Workload Workload Workload Assign workloads
to the environment
Linux that best satisfies
Image
requirements
z/OS z/VM AIX Linux
Integrated Service
zEnterprise z196 zEnterprise BladeCenter Management
Extension (xBX)
Visibility
Control
Automation

Achieves overall
lowest cost per
workload

20


Public versus Private Cloud
Which Option Costs Less for Delivering Mixed Workloads?

Light Intel Public
workloads 400
Workloads Cloud

Heavy Unix
workloads 42
Workloads
Private
Cloud

Light workloads
with heavy I/O 408
Workloads

850 workloads
zEnterprise
21


Compare Server Cost of Acquisition

400 42 408
Workloads Workloads Workloads

Deployed on Public Cloud Best Fit on zEnterprise

Public Private
Cloud Cloud
84%
850 Less
Compute Instances
zEnterprise
$48.5M TCA (3years) 32 IFL’s,
7 Intel Blades, 13 POWER Blades
192 cores
Server configurations are based on consolidation ratios derived from IBM internal studies.
Prices are in US currency, prices will vary by country $7.5M TCA (3years) 22


Compare Labor Cost for Three Years

400 42 408
Workloads Workloads Workloads

Deployed on Public Cloud Best Fit on zEnterprise

Public Private
Cloud Cloud
18%
Less
18,115 labor hours / year
8.71 administrators
11,806 labor hours / year
$4.17M 5.67 administrators
3 years@ $160K per year
Configuration based on IBM internal studies. Labor model based on customer
provided data from IBM studies. Labor rates will vary by country
$3.44M*
*Includes acquisition costs for zManager and Tivoli 3 years@ $160K per year 23


Fit-for-Purpose Private Cloud on zEnterprise
Dramatic Reduction in Costs
$242K
Three Year Cost per 79% lower
Workload / Image overall TCO
(US$)

Public cloud
Private cloud
with zEnterprise

$72.4K $79.4K

$44.6K

$9.2K $15.3K

Light Intel Heavy UNIX Workloads with
Workloads Workloads Heavy I/O

Source: IBM internal study. zEnterprise configurations needed to support the three workload types were derived from IBM benchmarks. Public cloud sizing needed to support the three
workload types was calculated based on compute capacity of public cloud services. 3 yr TCO for public cloud calculated using web-based calculator made available by the service
provider. 3 yr TCO for zEnterprise includes hardware acquisition, maintenance, software acquisition, S&S and labor. US pricing, prices will vary by country.

24


Accurate Cost Allocations Show a True Picture of
Costs and Aid Investment Decisions - an example:
Best practice allocation should use actual distributed and mainframe costs
In this example, the mainframe allocation decreased from 71% to 40%
Typical Allocation – Best Practice Allocation –
Management Estimates Actual Costs
Distributed % Mainframe % Distributed % Mainframe %
Power Cost 0 0 $15,084 100 $11,917 79 $3,167 21
Labor Cost 0 0 $350,000 100 $210,000 60 $140,000 40
Floor space 0 0 $11,620 100 $6,300 54 $5,320 46
Software OTC
$120,240 60 $102,472 40 $216,194 97 $6518 3
depreciation
Software S&S
$168,783 50 $168,783 50 $181,242 54 $156,325 46
and MLC

Hardware OTC
$103,691 25 $311,074 75 $184,435 44 $230,330 56
depreciation

Hardware
$20,276 25 $60,829 75 $37,151 46 $43,953 54
Maintenance
Network 0 0 $4,758 100 $ 4,758 100 $0 0
Total $412,990 29 $1,024,620 71 $851,997 60 $585,613 40
Based on IBM analysis of customer data.
Individual customer results will vary. Total $1,437,610 Total $1,437,610
25


BlueCross BlueShield
of Minnesota
Consolidated 140 HP Intel-
architecture servers to a single IBM
System z with six Integrated
Facility for Linux (IFL) engines
Key applications run in SUSE Linux
Enterprise servers, while IBM DB2
databases run on z/OS on the
“Even without factoring in the maintenance
same physical machine
and support costs - which would be
considerable for a large estate of physical Lead time for server provisioning
servers - we found that running a virtualized reduced by 99%
Linux environment on System z would be
somewhere between 30 and 50 percent New Linux Virtual Servers
less expensive than a distributed deployed for test and development
architecture.” within 20 minutes
- Ted Mansk, IT Director, BCBSM
26


Nationwide Insurance
By consolidating workloads
onto its System z mainframes’
virtualized infrastructure,
Nationwide replaced hundreds
of stand-alone servers running
several different operating
systems

$ 15M cost savings
over three years
85% – 90% server utilization
80% reduction in environmental
costs

27


Bank of New Zealand
Consolidated 200 Sun servers
down to 1 IBM System z10
running Red Hat Enterprise
Linux
Reduced data center footprint
by 30%, heat output by 33%,
and power consumption by
close to 40%
Only one administrator needed
per 200 virtual servers
New environments are deployed
in minutes, not days

28


Baldor Electric Company
When Baldor acquired a major
competitor, it needed to integrate
hundreds of servers into its
existing infrastructure
Baldor consolidated to SAP
Business Suite applications,
hosted on 70 virtual machines
running Linux on an IBM z10 EC
server and migrated data to an
IBM System Storage DS8100
platform
Eliminated hundreds of servers
Cut energy costs by 60%

Cut IT costs by 50%
29


Smarter Computing …..

Use of hardware and software technologies
to increase operational efficiencies and
optimize workload performance
while reducing Total Cost of Ownership

Doing More for Less

30

Smarter Computing with System z

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