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© 2014 IBM Corporation Green Datacenter for Big Data Tran Nguyen Vu Country Manager, Global Technology Services IBM Viet Nam

Green Datacenter for Big Data_v2

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Page 1: Green Datacenter for Big Data_v2

© 2014 IBM Corporation

Green Datacenter for Big DataTran Nguyen VuCountry Manager, Global Technology ServicesIBM Viet Nam

Page 2: Green Datacenter for Big Data_v2

© 2013 IBM Corporation22

As the consumerization of IT continues, forces are emerging that challenge organizations’ speed, agility and resilience

2

2004 2006 2008 2011 2013

1 1 1 1 1

2 2 2

3 3 3 3 3

4 4 4 4 4

5 5 5 5 5

6 6 6 6 6

22

1 1

Source: IBM, “Leading Through Connections: Insights from the Global Chief Executive Officer Study,” May 2012.

1. Technology factors 2. People skills

3. Market factors

4. Macroeconomic concerns

5. Regulatory concerns

6. Globalization

7. Socioeconomic factors

8. Environmental issues

9. Geo-political factors

External factors expected to have the greatest impact over the next three to five years Cloud computing

Social and mobile communications

Analytics and “big data”

PC projects by 4:13

By 2015, mobile app projects will outnumber5%-60%

of workloads can be cloud-enabled1

It is estimated that 50x growth ininformation managed by the data center is expected over the next decade2

Sources: 1. IBM cloud computing organization estimate. Individual results may vary. 2. Gartner, “Information and the Nexus of Forces: Delivering and Analyzing Data, 26 June 2012. 3. IDC, Digital Universe Study, sponsored by EMC, June 2011.

Page 3: Green Datacenter for Big Data_v2

© 2013 IBM Corporation33

Mobile / social communications

IBM understands the IT implications of changing technologies andthe business initiatives needed to help you prepare for them ANDcontinue to run the existing workload

New resilience requirements Increased power,

cooling and space requirements Flexibility to adjust

computing power and space on demand Network scalability Data center

rationalization Cost and environmental

considerations New sourcing

considerations

Analytics and big data

Reduce IT costs through a more efficient use of

resources

Keep up with large volume, variety and

velocity of data

Increase collaboration to drive productivity and

innovation

Cloud computing

Data center implications…Business needs…

Page 4: Green Datacenter for Big Data_v2

© 2013 IBM Corporation44

Is your data center capable of driving efficiency and addressing the implications of changing technologies?

Are your resiliency levels in sync with the current or

future application requirements?

Does your current power, cooling and space footprint

facilitate adoption of emerging technologies?

Do your data centers run efficiently enough to allow reallocation of

funding to new projects?

Does your current data center…

Design for flexibility

Business growthOperational efficiency and resiliency

Application availability

Optimize costs over

the long term

Right-size capacity and availability

Page 5: Green Datacenter for Big Data_v2

© 2013 IBM Corporation55

Build a modular data center allows you to pay as you grow, aligning expenditures to business needs

Supports new technology Can support growth in density within a module Can support racks, mainframe & storage without

segregation Can provide overhead or under floor power/cooling

optionsDesigned for flexibility Single or multi-story designs adaptive to real estate Module size selection based on customer requirements Designed to allow easy expansion from 1 to multiple

modules Can be installed in existing facilities Promotes energy efficiency PUE starting at 1.2 Right-size physical infrastructure to IT needs Minimize “over-provisioning” of DC infrastructureLowers lifecycle total cost of ownership As much as 40% reduction in capital As much as 50% reduction in operational costsProvides available, predictable operations Designed to IBM, UI or TIA reliability standards Can target reliability by module Can support undisrupted operations during upgrades

IBM Global Technology Services

Page 6: Green Datacenter for Big Data_v2

© 2013 IBM Corporation

You need to optimize around energy costs

This chart illustrates why you need to optimize energy costs

Shell 7%

Mechanical20%Contingency

9%

General Contractor Fee

8%

Architect / Engineer

5%Commissioning

2%Fit-Up Costs

9%

Instrumentation & Controls4%

Mechanical Cost Breakout

CoolingPlant72%

Raised Floor Cooling28%

Power Cost Breakout

Generator45%

UPS27%

Power Distribution28%

Power36%

Shell7%

One 2,000 m2, 2MW data center

Cumulative cost to run a data center

10% annual energy increase

Data center operational costs are 3-5 times the capital costs

75% of operation costs is for energy

Page 7: Green Datacenter for Big Data_v2

© 2013 IBM Corporation77

Organizations aligned to emerging information technologies will deploy data centers that are forward thinking

Modular space and capacity

Design an efficient, scalable, reliable solution

that meets business needs

Deploy

Modular Data Centers Consolidation and Relocation Cabling and Connectivity

Page 8: Green Datacenter for Big Data_v2

© 2013 IBM Corporation

IBM has global experience with over 800 modular data center design and builds in the last 5 years

SCALABLE MODULAR DATA CENTER ENTERPRISE MODULAR DATA CENTER PORTABLE MODULAR DATA CENTER HIGH DENSITY ZONE

50+ patents in data center design & delivery

AP/Global CoE the best DC designers in the world

Page 9: Green Datacenter for Big Data_v2

© 2013 IBM Corporation

Singapore Client Centre (opened in Sept 2012) AP COE designed and implemented demo centre

Combination of the latest cooling and UPS/battery technologies in one place

Extremely low PUE (1.38) for Singapore

Cooling Features: Chilled water, CRAC, 30 x RDHx, 5 x InRow, Hot/Cold aisle, etcElectrical Features: Trilogy UPS, Lithium batteries, Bus bar, AC/DC configuration, etcScalable/Modular: Expansion with minimal disruption, non-outage retrofit designMonitoring: IBM ECC (demo scale), Intelligent DCIM software, resource optimization

Page 10: Green Datacenter for Big Data_v2

© 2013 IBM Corporation10

Thank YouCảm ơn

Page 11: Green Datacenter for Big Data_v2

© 2013 IBM Corporation

Key Offerings in Vietnam market and Why IBM?

Regulatory compliance, risk identification, independent

Standard compliance, sustainable, manageable

Defer CAPEX & OPEX, high efficient, quick deployment

Midsize datacenter, rapid deployment

WHY IBM?• Designed and build over 3 million m2 of raised floor datacenter globally• Dedicated team of 500+ experts globally. Strong local presence with a team of Datacenter certified professionals (CDCE, DCDC, CCIE, PMP…) in Viet Nam.• Extensive implementation experience of multiple industry leading technologies in datacenter power and cooling and strong reusable intellectual assets built on IBM best practices of 35 years

Datacenter Assessment Service

Datacenter Assessment Service

Modular Data CenterBuild (Scalable,

Portable and Enterprise MDC)

Modular Data CenterBuild (Scalable,

Portable and Enterprise MDC)

Datacenter Design ServiceDatacenter Design Service mini Data Centermini Data Center

Page 12: Green Datacenter for Big Data_v2

© 2013 IBM Corporation

PUE (Power Usage Effectiveness)

Emergency generator

Utility transformer

PUE Total data center energy from all fuels (kWh)Total IT energy (kWh)

Total data center energy

House energy

=

Data center

Main service

PP-Gen service

Lighting panel

Generator block

Heaters & lighting

Lighting, Exit lights,

BMS, EPMS & security

House panels

UPS

STS

PDUs

RPPs

Mech. Swgear

Data centerCRAC units,

AHUs, Chillers & Dry coolers

Fuel

Misc. support Mech. support

Pow

er

To IT

IT-critical load

District chilled water

District steam

Natural gas

CO2NOx

Total Direct Water Consumption

Fuel

ERF

ERE

Total data center energy

Total data center energy

CUE

WUE

Plus CUE, WUE, ERE, ERF….and Data Center Maturity Model “DCMM”