Cloud Computing and the iDataPlex Platform Web 2.0 Expo

September 18, 2008

Scott Gerard (sgerard@us.ibm.com) Lab Services, Senior ConsultantIBM

2

Worldwide STG Lab Services Delivery Teams

Rochester, MNPower, Modular

Data Center Services

Rochester, MNPower, Modular

Data Center Services

Beaverton, ORKirkland, WA

Modular

Beaverton, ORKirkland, WA

Modular

West, Central, EastIT Consolidation/Virtualization

Services (Scorpion)

West, Central, EastIT Consolidation/Virtualization

Services (Scorpion)

Poughkeepsie, NYMainframe

Data Center Services

Poughkeepsie, NYMainframe

Data Center Services

Tucson, AZStorage

Tucson, AZStorage

Austin, TXPower

Austin, TXPower

RTP, NCModular, Storage

RTP, NCModular, Storage

LaGaude, FranceMontpellier, France

Mainframe, Power, Modular, Data Center

Services

LaGaude, FranceMontpellier, France

Mainframe, Power, Modular, Data Center

Services

Mainz, Germany

StorageMainz, Germany

Storage

Bangalore, IndiaMainframe, Power,

Storage

Bangalore, IndiaMainframe, Power,

Storage

Beijing, ChinaMainframe, Power, Modular, Storage

Beijing, ChinaMainframe, Power, Modular, Storage

Taiwan, TaipeiMainframe, Power, Modular, Storage

Taiwan, TaipeiMainframe, Power, Modular, Storage

A 600 person group delivering Systems implementation, I/T consulting services, and skills development…

A 600 person group delivering Systems implementation, I/T consulting services, and skills development…

Hursley, UKHPC

Hursley, UKHPC

Boca Raton, FLSpeech Technology

Boca Raton, FLSpeech Technology

Yorktown Heights, NY

Speech Technology

Yorktown Heights, NY

Speech Technology

Dublin, IrelandData Center Services,

Mainframe

Dublin, IrelandData Center Services,

Mainframe

…part of a team of 25,000 engineers and programmers in 35 labs in 16 countries

…part of a team of 25,000 engineers and programmers in 35 labs in 16 countries

68 CountriesWorldwide

IBM Training for Systems

68 CountriesWorldwide

IBM Training for Systems

Latin AmericaMainframe, Power, Modular, Storage

Latin AmericaMainframe, Power, Modular, Storage

3

IBM New Enterprise Data Center StrategyLeveraging the Best of Traditional and New Practices

Virtualization

Consolidation

Business resiliency and security

Rapid service delivery

Software resiliency

Pooled shared environment

• New economics

• Rapid service delivery

• Aligned with business goals

Traditional Data

Centers

Web 2.0 Data

Centers

New Enterprise

Data Centers

4

What is driving Cloud Computing

Fast growth of connected mobile devices

Skyrocketing costsof power, space,

maintenance, etc.

Advances in multi-corecomputer architecture

Explosion of data intensive applications

on the Internet

Growth of Web 2.0-enabled PCs, TVs,

etc.

• Technology advances that support massive scalability & accessibility

• Emergence of data intensive applications & new types of workloads Large scale information processing, i.e. parallel computing using HadoopWeb 2.0 rich media interactionsLight weight run anywhere web apps

5

Industry Trends Leading to Cloud Computing

Grid Computing

• Solving large problems with parallel computing

• Made mainstream by Globus Alliance

Software as a Service

• Network-based subscriptions to applications

• Gained momentum in 2001

Cloud Computing

• Next-Generation Internet computing

• Next-Generation Data Centers

19901998

20002008

Utility Computing

• Offering computing resources as a metered service

• Introduced in late 1990s

A “cloud” is an IT service delivered to users that has:• A user interface that makes the infrastructure underlying the service transparent to

the user• Near-zero incremental management costs when additional IT resources are added• A service management platform

6

Some Characteristics of Cloud Computing

• Virtual – Physical location and underlying infrastructure details are transparent to users

• Scalable – Able to break complex workloads into pieces to be served across an incrementally expandable infrastructure

• Efficient – Services Oriented Architecture for dynamic provisioning of shared compute resources

• Flexible – Can serve a variety of workload types – both consumer and commercial

7

IBM Cloud Computing Gaining Momentum

Academic Initiative

Blue Cloud

2007

February 2008

March 2008

Wuxi China Cloud Computing Center

Joint research initiative with 13

European partners

Partner to enhance academic research

opportunities

First Cloud Computing Center in

Europe

Vietnam Innovation Portal

PACES on cloud announced at IMPACT

Sogeti Online Idea Brainstorm a “terrific

success” out of Dublin Cloud

Cloud for iDataPlex announced at Web

2.0 expo

May 2008

VIP/SSME in production on Cloud

Wuxi in production

April 2008

8

Worldwide Centers to Serve Clients

Seattle, WA

San Jose, CA US, East Coast

Dublin, Ireland

South Africa

Hanoi, VietnamBangalore, India

São Paulo, Brazil

Seoul, S KoreaBeijing, China

Planned

Announced

Middle EastTokyo, Japan

Singapore

9

Dynamic Enterprise Data Center – Enabling Virtual Classrooms

Google/IBM Academic Initiative•Promote open standards & Hadoop

parallel computing model•Jointly provide compute platform of the

future

Benefits•Trains students with next generation

computing skills•Optimizes emerging Internet scale

workloads such as search, video, audio, 3D Internet, machine learning, mobile computing

Virtualization

Physical Hardware

Workloads

Cloud Services

MIT

DynamicScheduling Monitoring

Virtual Application

Server

Virtual Application

Server

Virtual Application

Server;

CarnegieMellon

University ofWashington

10

Academic Initiative University Participants

• From Fall 2007 – 2008, over 10 classes taught between 6 universities• Over 500 students trained on next generation parallel computing

techniques

Projects• Inverted Index• PageRank on Wikipedia • Clustering NetFlix Movie Data• Language Modeling in the Clouds• Large-data Statistical Machine Translation• Collective Resolution of Identity in Email Archives• Parallel Automatic Text-Background Separation in Picture Books • Large-Scale Network Analysis to Improve Retrieval in the Biomedical

Domain

Students and professors are saying: •“Very cool”•“Job that takes a week now only takes hours”•“Closes the gap between how industry and academia think about computing”

11

Wuxi China Cloud Computing Center

• Offers emerging Chinese software companies the ability to tap into a virtual computing environment to support their development activities.

• A shared facility, providing each company in the Wuxi Software Park with its own virtual data center

• Enabled by IBM technology and service• Managed with IBM Tivoli systems management products• Hardware – IBM System x, System p and BladeCenter

• Benefits– Fast deployment of Rational software development environments

– Up to 200K software developers, 100 companies

– Cost efficient shared infrastructure

"The China Cloud Computing Center represents a milestone in service-oriented computing," said T. W. Liu, the chairman and CEO of iSoftStone. "It will allow companies in the Wuxi Software Park to leapfrog to the newest computing models and will provide an efficient IT platform for software development."

IBM establishes the first Cloud Computing Center for software companies in China at the new Wuxi Tai Hu New Town Science and Education Industrial Park in Wuxi, China

12

Cloud Computing Management Services

Cloud Computing in the New Enterprise Data Center

WorkloadManagement

Provisioning Monitoring

Virtualized PhysicalServers

(Ensembles)

iDataPlex, BladeCenter, System x, System p, System z

Software Development

Deploys development

tools for immediate use

Technology Incubation

Reduces time to launch new

offerings

Innovation Enablement

Expands sources of innovation, increases

competitiveness

Large Scale Information Processing

Optimizes emerging

Internet scale workloads

Self-serviceAdmin Portal

Workload PatternTemplates

SLA andCapacity Planning

Administration Workflows

Workload Solution Patterns

13

Mashups FOR Cloud Management

•Data Center much more than just CPUs, storage & networks – Multiple “layers” and multiple types of data/models

– Classic system mgmt data doesn’t cover everything

– Some models still evolving

– Non-standard, client-specific models

– Multiple sources: client, vendor, internet, …

•Different users have different needs– Needs: user ≠ operator ≠ manager ≠ CIO

– Classic system mgmt tools address only a fraction of needs

– “Long tail” of needs

– Day or less development time. Else too costly

14

Mashups FOR Cloud Management

•Integrate multiple data sources – Traditional data center information

– Other kinds of information

– Social/organizational– Spatial– Thermal/Energy– Vendor product data, documentation/training/background

info, …– Internet

15

Enterprise Environment

• Draw data from – Intranet

– Internet

• Keep results inside firewall – Security concerns

– Will be difficult to use externally hosted services

• Governance– Can enforce compliance with enterprise standards

• Minimize risk– Incrementally include more kinds of data

– No completely new paradigms

16

Physical Servers

Virtual Servers

App Components

Social

Spatial

CI MR

Example: Who needs to be notified about server maintenance?

17

Layout of Servers in Data Center

Annotated with• Server name• Other attributes

18

Mashup Prototype

19

Heat Map Overlaid on Data Center

20

Technologies

•Mashup Infrastructure– Lotus Mashup Center

– InfoSphere Mashup Hub

– Lotus Widget Factory

•Other technologies – Scalable Vector Graphics (SVG, Firefox, Batik)

– Semantic Web (RDF, RDFS, SPARQL, OWL)

– Integration of “ragged” data– Taxonomies/folksonomies

21

iDataPlex

•New Technologies:Blade inspired innovation

•New Economics: Easy to buy, easy to own

•Adaptive Business Model: Aligned End-to-End IBM approach

•Business Goal Aligned:Laser vision on achieving our clients’ success

22

Internet Scale Data Center•Custom design layout consulting•Data center-level management software

Narrow Depth Rack•Side-by-side chassis•Holistic rack design•Multiple node/chassis combinations

Flex Node Technology•Shared power and cooling•High-efficiency power supply•Blade-like technology

Technology Approach

Green Components•Low-voltage processors and memory•Component elimination•High-efficiency fans

Integrated Rack Deployment

Efficient Power & Cooling

Customized Solutions

Single-Point Management

23

Flexible -- Efficient Form and Design

Typical Enterprise Rack

42U Enterprise Rack1

42U Enterprise Rack2

Optional Rear Door Heat Exchanger

iDataPlex Rack

Top-down view

Low impedance air flow path

High Impedance air flow path

24

New Depth Rack Improves DensityNo Change to Data Center Layout

iDataPlex

Hot Aisle

Cold Isle

iDataPlex

Hot Aisle

Cold Isle

Hot Aisle

Cold Isle

StdRack

w/ 1U’s

StdRack

w/ 1U’s

X sq. ft Air Cooling 0.79X sq. ft Air Cooling 0.42X sq. ft Liquid Cooling

Sized by floor tiles400 CFM per tile

2.4X Server Density

Rear Door Heat eXchanger

25

A More Intelligent Approach

• 40 servers per rack• 4 network leaf switches• 2 enterprise racks• Configured onsite

Optional Rear Door Heat eXchanger for even greater data center power and cooling efficiency

Traditional Rack

Servers

Internet-Scale iDataPlex

• 138% better density• 50%+ less floor space • 75% fewer fans• 66% less fan power consumption• $10,148 energy savings /rack /year• $1.2M data center energy savings*• Ships complete, ready to deploy

* For typical Data Center

26

Innovative Cooling Solution

15% more Servers58% less CRACs

128 Racks, 10.7K Servers (84 / Rack)1U Air cooled iDataPlex - Rear Door Heat eXchanger

Only 12% racks are

equal to or below 77F

100% racks are equal to or below

77F

224 Racks,9.4K Servers (42 / Rack)

27

IBM Leadership in Dynamic Enterprise Data Centers

• Converging Web-centric clouds and enterprise data centers

• Establishing worldwide cloud computing centers to drive adoption

• IBM leads the way in bringing cloud computing benefits to enterprises

28

Questions