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Data Center & IT Infrastructure Optimization. Trends & Best Practices. Mickey Iqbal - IBM Distinguished Engineer. IBM Global Technology Services

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Data Center & IT Infrastructure

Optimization

Trends & Best Practices

© 2009 IBM Corporation

Trends & Best Practices

(2)

IT Organizations are Challenged by a Set of Operational

Issues

Challenges

Rising costs of systems and networking

operations

Explosion in volume of data and information

Difficulty in deploying new applications and

services

Security of your assets & your clients’

information

Costs &

Service

Delivery

Enterprises report that IT

operational overhead = up to 70%

of IT budget and growing . . .

information

Landslide of compliance requirements

Systems and applications need to be

available

Rising energy costs & rising energy demand

Power & thermal issues inhibit operations

Environmental compliance & governance

mandates

Business

Resiliency

& Security

Energy

Requirements

of IT budget and growing . . .

(3)

Project ‘Big Green’

IBM to reallocate $1 billion

each year:

– To accelerate “green” technologies and services

– To offer a roadmap for clients to address the IT energy crisis while leveraging IBM hardware, software, services, research, and financing teams

– To create a global “green” team of almost 1,000 energy efficiency specialists from across IBM

Re-affirming a long standing commitment at IBM:

Re-affirming a long standing commitment at IBM:

– Energy conservation efforts from 1990 – 2005 have resulted in a 40% reduction in CO2 emissions and a quarter billion dollars of energy savings

– Annually invest $100M in infrastructure to support remanufacturing and recycling best practices

– Invest in data centers we own or manage for clients to double compute capacity by 2010

without increasing power consumption or carbon footprint saving 5 billion kilowatt hours per year . . . equals energy consumed by Paris –“the City of Lights”

What “green” solutions can mean for clients:

– For the typical 25,000 square foot data center that spends $2.6 million in power annually, energy costs can be cut in half

(4)

Addressing Energy Challenges in Data Centers

Face similar issues to clients in supporting 8 million square feet of data center space

Increasing computing demand

– Need to respond to new business growth

– Long lead times ranging from 12-18 months for major data center electrical and mechanical components to support IT growth

Changing cost dynamics

– Latest generations of data processing equipment drive

Changing Cost Dynamics Increase in Electricity Prices

IBM Data Centers (2005-06)

14 18 4 6 8 10 12 14 16 18 20 P e rce n ta g e I n cr e a se

– Latest generations of data processing equipment drive increased power and cooling demands

– Increased use of blade servers driving higher power and cooling requirements

– Clients experiencing similar utility infrastructure constraints, facing multi-million dollar upgrades

Aging data center infrastructure

– Building equipment reaching end of life

– Several sites converted from manufacturing to data centre

– Some locations unable to handle growth requirements due to physical constraints

IBM Data Centers

Comparison of Space to Energy Use

(5)

IBM’s Data Center

s

IT Infrastructure Energy Efficiency Strategy

Virtualization

Application Integration

State-of-the-Art

 Consolidate many centers into fewer

 Reduce infrastructure complexity

 Improve facilities

 Consolidate many servers into fewer on physical resource boundaries

 Reduce system management complexity

 Remove physical resource boundaries

 Increased hardware utilization

 Allocate less than physical boundary

 Reduce software licensing

costs

 Migrate many applications into fewer images

 Simplify IT environment

 Reduction of operations resources

 Improve application specific monitoring and tuning

Facility Infrastructure Energy Efficiency Strategy

Centralization Physical Consolidation Improved Operations Best Practices the-Art  Improve facilities management  Reduce staffing requirements  Improve business resilience (manage fewer things better)

 Improve operational costs

 Reduce physical footprints

 Conservation techniques

 Infrastructure energy efficiency

 Improved airflow management

 Hot and cold aisles

(6)

IBM’s Data Center Energy Efficiency History

A decade of improvement

IBM Strategic Delivery Model

IBM Metrics

1997

Today

CIOs 128 1

Host data centers 155 7

T E C H N O L O G Y

Web hosting centers 80 5

Network 31 1

Applications 15,000 4,700

Global

Resources Strategic IGA

Location Strategic Web Location for IGA Ethernet & Power9 Networks T E C H N O L O G Y

Tactical and operational

efficiencies



Consolidation of infrastructure



Application consolidation/reduction



Global resource deployment

(7)

Five Areas for an Energy Efficient Data Center

● Mobile Measurement

Technology (MMT)

IBM Energy Management

● Data Centre Energy

Efficiency Assessment

Diagnose

Get the facts to understand your energy use and opportunities for

improvement

Build

Plan, build, and upgrade to energy

Manage &

Measure

Seize control with power

IBM Project

● Data Centre Upgrade Management Solution ● Distributed Systems Virtualization - Advanced Power Virtualization (APV) and VMWare

efficient data centers

Cool

Virtualize

Implement virtualization and other innovative

technologies power management software

IBM Project

Big Green

Use innovative cooling solutions ● Scalable Modular Data Centre Upgrade ● Linux on z

● Data Centre Stored

Cooling

● Rear Door Heat

(8)

Where does the energy go? The data center energy challenge affects both

the physical data center & the IT infrastructure.

% o f to ta l d a ta c e n te r e le c tr ic it y u s e

35 Cooling systems Electrical and building systems

Server and storage consolidation assessments

Data Center Energy Efficiency Assessment

30 25 20 15

Chart and data source: American Power Conversion Corporation (APC) white paper, Implementing Energy Efficient Data Centers, #114, by Neil Rasmussen, 2006.

Power use % o f to ta l d a ta c e n te r e le c tr ic it y u s e Chiller/ cooling tower Information technology Switch/ gen Uninterruptible power supply (UPS) Power distribution unit Computer room air-conditioner Humidifier Optimize IT Infrastructure Energy Efficiency

Optimize Data Center Infrastructure Energy Efficiency

Active Energy Management

Lighting

(9)

Build - IBM’s Data Center Family

TM

Comprehensive Set of Custom and Standard Capabilities

Enterprise modular data center

●Turnkey data center for 500-2,500 sq ft ●Rapid deployment in 8-12 weeks

●20% less cost than traditional data centers ●15-30% improved energy efficiency

●Standardized design in 5K up to 20K sq feet ● Designed for high availability

● Leadership energy efficiency – 66% DCiE ● 25% faster deployment than custom approach Scalable modular data center Portable modular data center

data center ● 25% faster deployment than custom approach ● Open architecture involving leading vendors

●Fully functional data center; multi-vendor support ● Portable - temporary and remote data centers ● Rapidly deploy in 12-14 weeks

● Designed for high availability

● Leadership energy efficiency: 77% DCiE

●“Plug and play” infrastructure to support high density servers in existing data centers

● Non-disruptive implementation

● 35% lower cost than retrofitting existing data center High density

(10)

Tivoli Green Management

Facility

Infrastructure Assets Data Center

Infrastructure Assets

Measure and Manage

Seize control of every resource with energy management software

Trending consumption on individual or group level Establish baseline cost

Retrieve temperature and power information Better utilization of existing resources

Tivoli Green Management

(Monitor, Measure and Manage)

IT Assets

3rdParty Servers and Storage

Tivoli Software

IBM® Systems Director

(11)

Consolidation: four basic strategies

Chicago

London New York

Chicago

Centralization

Reducing the number

Physical Consolidation

of data centers

Reducing older servers with fewer more powerful systems Windows ® NT® Servers UNIX® Servers Other Servers Windows ® NT® Servers UNIX® Servers Other Servers Billing System Server

Billing

Server

Order

Server

Web

Server

Order Server Web Server

Data Integration

Centralizes data from

Application Integration

different sources

(12)

Virtualization is central to data center transformation

Fragmented, inefficient islands

of computing

Efficient, dynamic and

responsive

of computing

responsive

What Can You Do?

The “payoff”

Support your company growth…

…with no increase in operational resources

Improve system performance & availability…

…with far less hardware

Reduce your power & cooling consumption…

…by 60% or more

Manage more servers…

…with a smaller staff

Enable application deployment…

…in days versus weeks or months

Free up money from operations…

…to fund IT projects that increase business

(13)

What happens when you virtualize?

However, new complexities can emerge



With the right tools, virtualized resources can be easier

to create, adjust, move, clone and checkpoint

Virtualization changes everything



Rapid growth of virtualized resources



Relationship of virtualized resources to underlying physical

Requires enhanced management framework



Reduce complexity with integration and service management



Deploy and manage virtual servers to control datacenter space



Manage energy helps meet “green” initiatives and cost objectives

Manage a mix of virtual and physical resources



Relationship of virtualized resources to underlying physical

infrastructure



Health monitoring and problem determination across a physical

(14)

Computing cloud - an emerging IT infrastructure

Delivers simplified services through innovative business models

INNOVATIVE BUSINESS MODELS

Clients and Customers

SIMPLIFIED SERVICES

• Cloud applications

enable the simplification of complex services • New combinations of

services to form differentiating value propositions at lower costs in shorter time

Computing

Cloud

Network Cloud

• A high performance pool of virtualized computer resources of complex services • A cloud computing platform combines modular components on a service oriented architecture

(15)

Lessons Learned

Plan for the long term knowing that your environment is

not homogeneous or static

– Significant data center changes take years (not months) to implement

– Plan modularity for unknown future requirements

Leverage the base capability you have already paid for

– Tactical increases in power density

– Don’t underestimate the value of existing infrastructure

– Don’t underestimate the value of existing infrastructure

Leverage new technology benefits in facilities and IT for

function and efficiency

– Examples of equipment installed

Immediate opportunities exist to reduce data center

energy use

– Mobile Measurement Technology can show how to save 10% by simple actions

– Data Center Energy Efficiency Assessment allows you to do a before and after view

References

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