Download A Data Centre Strategy For Sustainability

A D ATA C ENTRE S TRATEGY
F OR S USTAINABILITY
Present By : Annawar Soe
Student No: 42280400
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A GENDA
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
Introduction - What is Data Centre?

Background - Importance of Data Centre

Problems in data centre

Current trends in Data Centre

Motivation, Aim & Expected Outcome

Data Centre Consolidation & Virtualization

Data Centre Design Recommendation

Comparison with Australian Governments’ Architecture

Conclusion & Future work
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W HAT
IS
D ATA C ENTRE
Data centres are facilities that provide storage,
dissemination, management of information and data that is
built or organized for a wide community of users
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T HE IMPORTANCE OF DATA
CENTRE
Governments and organizations support data centre for 5 reasons:

Availability

Security

Connectivity

Power Density

Green operated IT
P ROBLEMS IN DATA
5
CENTRE
The problem linkage of data centre
Increasing
data storage
demands
Increasing
number of
data centres
Higher Energy
consumption
Increase in
heat emitted by
data centres
Increase in
Carbon emission
The data centre impact on environment
Power
Shortage
Increase in
GHG emission
Global
Warming
C URRENT TRENDS IN DATA
CENTRE
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C LOUD
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SOLUTION
Delivering services over the internet

A highly demanded solution in the ICT

Provide shared services initiatives for the business and
economic performance
“Total cost of ownership and service, value for money,
reduced risk, business agility , improved flexibility and
scalability”
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C LOUD
SOLUTION
New South Wales Government’s proposed solution
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C LOUD S OLUTION
Consolidated data centre with duplicated data move to cloud computing
S PLIT P RODUCTION
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ARCHITECTURE
To alter appropriate network when one data centre is unavailable

High speed network

Dark fibre 8 : point to point optical fibre solution


Reduce bulk of fibre
Storage area network & database system

Synchronies all data
Provide high speed network connection between sites
enabling severs to be located in multiple locations
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S PLIT P RODUCTION
ARCHITECTURE
Queensland Government’s proposed solution
C URRENT ISSUES IN DATA
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CENTRE
Proposed Solution Do and Don’t

Do

Reduce number of data centre

Cost saving on data centre

Support business continuity
C URRENT ISSUES IN DATA
13
CENTRE
Proposed Solution Do and Don’t

Don’t

No data consolidation

Lack of environmental concerning
M OTIVATION , A IM &
EXPECTED OUTCOME
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M OTIVATION
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Data centre is important
To maintain business operations and economic performance &
To sustain the environment
A IM
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Aim of the project
Data consolidation
Data centre virtualization
Decrease data
storage
demands
Decrease
number of data
centres
•Decrease
Energy
consumption
•Decrease in
heat emitted by
data centres
•Reduce in
Carbon
emission
•Energy
efficient
•Reduced in
GHG emission
Reduce
Global
Warming
E XPECTED
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OUTCOME
Expected outcome

A framework to address business and delivering of services

A framework that seeks to reduce energy consumption

A framework to reduce carbon footprint of a data centre
D ATA CONSOLIDATION AND
SEVER VIRTUALIZATION
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D ATA C ENTRE
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C ONSOLIDATION
Data Centre consolidation provide efficient energy consumption
and business operations by:

Reduce extra number of data sever

Reduce power generation

Reducing administrators to travel

Data consolidation
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D ATA C ENTRE
C ONSOLIDATION : D ATA
C ONSOLIDATION
Comparison of duplicated data store in consolidated data centre and single data store
in consolidated data centre
D ATA CENTRE
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VIRTUALIZATION
Data Centre virtualization increase computing power and reducing
power consumption by:

Replacement of physical servers

A technology called cloud computing

Virtualisation

Storage virtualization, Computing virtualization,
Networking virtualization, Security virtualization
D ATA CENTRE DESIGN
RECOMMENDATION
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FABRIC T ECHNOLOGY
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The Fabric Technology is use to:

Enables multiple interconnected networking devices

Reduces complexity and consolidates the data center
network

Moving to a single layer
B ROCADE D ATA C ENTRE
FABRIC (DCF)
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Brocade Data Centre Fabric (DCF)

Optimise data duplication, configurations and streamline the
fibre channel

Support Quality of Service (QoS)

Has the capability of adapting to networking

Enables adaptive networking

Enable the architecture to align with modern business
architectures

Generate quick responses to business queries
R EDUCE S EVER S PACE
WITH DCF
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Reduce data duplication

SAN switches, SAN extension and Brocade Fabric
Application

Data cleansing ,consolidation and migration
R EDUCE S EVER S PACE
WITH DCF ( CONT..)
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Replacement of standalone unit with blade servers

Reduce auxiliary units : fabric connectivity and cabling

Provide equivalent processing power

Require less hardware

Power consumption requirements are subdued

Centralize management

Greater flexibility in procession power deployment
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R EDUCE S EVER S PACE
WITH DCF ( CONT..)
Comparisons between standalone and blade severs architecture
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S ERVER V IRTUALIZATION
Server virtualization by enhancing with channels of fibre
fabrics

Fibre channel host bus adapters (HBA’s)


Attach backplane of blade sever
Fibre channel blade switch

Connectivity to the external storage network

Each blade switch has a unique ID

Has a special feature called “ Access Gateway”

Simplifies fabric management, blade server deployment,
support different virtual ID
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S ERVER V IRTUALIZATION
( CONT …)
The configuration of blade sever, “access gateway” and domain ID fabric services
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S ERVER V IRTUALIZATION
( CONT …)
Simplifying sever virtualization connectivity with DCE

Ethernet



Upgrade Fabric Channel over IP & Fibre Channel
Data centre protocol

Data transport rate 10Gbit/sec

Multi-path capability
DCX backbone platform

Provide capability to enhance sever virtualization
connectivity and streamline blade server
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R ECOMMENDED
A RCHITECTURE
Proposed data centre architecture
A RCHITECTURE
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COMPARISONS
Australian Governments’
Architecture
Recommended Architecture

Only data centre consolidation

Data centre consolidation by
data consolidation

Focus on operational
efficiency

Data centre consolidation by
virtualization

Focus on business operations

Focus on business operation

Focus on energy consumption

Focus on reducing carbon
footprints
C ONCLUSION
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Successfully solved problem linkage
Data consolidation
Data centre virtualization
Decrease data
storage
demands
Decrease
number of data
centres
•Decrease
Energy
consumption
•Decrease in
heat emitted by
data centres
•Reduce in
Carbon
emission
•Energy
efficient
•Reduced in
GHG emission
Reduce
Global
Warming
F UTURE
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
AI-Managed data centre


Managed by Robots

Reduce labor cost

Reduce operational cost

Boost security
Able to integrate directly with

ERP

CRM
WORK
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