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Present By : Annawar SoeStudent No: 42280400

A DATA CENTRE STRATEGY FOR SUSTAINABILITY

2 AGENDA

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

3WHAT IS DATA

CENTRE

Data centres are facilities that provide storage, dissemination, management of information and data that is built or organized for a wide community of users

4THE IMPORTANCE OF

DATA CENTRE

Availability

Security

Connectivity

Power Density

Green operated IT

Governments and organizations support data centre for 5 reasons:

5PROBLEMS IN 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

Power Shortage

Increase in GHG emission

Global Warming

The problem linkage of data centre

The data centre impact on environment

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CURRENT TRENDS IN DATA CENTRE

7 CLOUD 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”

8 CLOUD SOLUTION

New South Wales Government’s proposed solution

9 CLOUD SOLUTION

Consolidated data centre with duplicated data move to cloud computing

10SPLIT PRODUCTION

ARCHITECTURE

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

To alter appropriate network when one data centre is unavailable

11SPLIT PRODUCTION

ARCHITECTURE

Queensland Government’s proposed solution

12CURRENT ISSUES IN

DATA CENTRE

Proposed Solution Do and Don’t Do

Reduce number of data centre

Cost saving on data centre

Support business continuity

13CURRENT ISSUES IN

DATA CENTRE

Proposed Solution Do and Don’t Don’t

No data consolidation

Lack of environmental concerning

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MOTIVATION, AIM & EXPECTED OUTCOME

15 MOTIVATION

Data centre is important

To maintain business operations and economic performance &

To sustain the environment

16 AIM

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

Data consolidation

Data centre virtualization

Aim of the project

17 EXPECTED 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

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DATA CONSOLIDATION AND SEVER VIRTUALIZATION

19DATA CENTRE

CONSOLIDATION

Reduce extra number of data sever

Reduce power generation

Reducing administrators to travel

Data consolidation

Data Centre consolidation provide efficient energy consumption and business operations by:

20DATA CENTRE CONSOLIDATION

: DATA CONSOLIDATION

Comparison of duplicated data store in consolidated data centre and single data store in consolidated data centre

21DATA CENTRE

VIRTUALIZATION

Replacement of physical servers

A technology called cloud computing

Virtualisation

Storage virtualization, Computing virtualization, Networking virtualization, Security virtualization

Data Centre virtualization increase computing power and reducing power consumption by:

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DATA CENTRE DESIGN RECOMMENDATION

23 FABRIC TECHNOLOGY

The Fabric Technology is use to:

Enables multiple interconnected networking devices

Reduces complexity and consolidates the data center network

Moving to a single layer

24BROCADE DATA CENTRE

FABRIC (DCF)

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

25REDUCE SEVER SPACE

WITH DCF

SAN switches, SAN extension and Brocade Fabric Application

Data cleansing ,consolidation and migration

Reduce data duplication

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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

REDUCE SEVER SPACE WITH DCF (CONT..)

27REDUCE SEVER SPACE

WITH DCF (CONT..)

Comparisons between standalone and blade severs architecture

28 SERVER VIRTUALIZATION

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

29SERVER VIRTUALIZATION

(CONT…)

The configuration of blade sever, “access gateway” and domain ID fabric services

30SERVER VIRTUALIZATION

(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

31RECOMMENDED ARCHITECTURE

Proposed data centre architecture

32ARCHITECTURE COMPARISONS

Australian Governments’ Architecture

Only data centre consolidation

Focus on operational efficiency

Focus on business operations

Recommended Architecture

Data centre consolidation by data consolidation

Data centre consolidation by virtualization

Focus on business operation

Focus on energy consumption

Focus on reducing carbon footprints

33 CONCLUSION

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

Data consolidation

Data centre virtualization

Successfully solved problem linkage

34 FUTURE WORK

AI-Managed data centre

Managed by Robots

Reduce labor cost

Reduce operational cost

Boost security

Able to integrate directly with

ERP

CRM

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Thanks for your attention