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A D ATA C ENTRE S TRATEGY F OR S USTAINABILITY Present By : Annawar Soe Student No: 42280400 1 A GENDA 2 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 3 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 4 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 6 C LOUD 7 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 C LOUD SOLUTION New South Wales Government’s proposed solution 9 C LOUD S OLUTION Consolidated data centre with duplicated data move to cloud computing S PLIT P RODUCTION 10 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 11 S PLIT P RODUCTION ARCHITECTURE Queensland Government’s proposed solution C URRENT ISSUES IN DATA 12 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 14 M OTIVATION 15 Data centre is important To maintain business operations and economic performance & To sustain the environment A IM 16 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 17 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 18 D ATA C ENTRE 19 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 20 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 21 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 22 FABRIC T ECHNOLOGY 23 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) 24 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 25 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..) 26 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 27 R EDUCE S EVER S PACE WITH DCF ( CONT..) Comparisons between standalone and blade severs architecture 28 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 29 S ERVER V IRTUALIZATION ( CONT …) The configuration of blade sever, “access gateway” and domain ID fabric services 30 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 31 R ECOMMENDED A RCHITECTURE Proposed data centre architecture A RCHITECTURE 32 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 33 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 34 AI-Managed data centre Managed by Robots Reduce labor cost Reduce operational cost Boost security Able to integrate directly with ERP CRM WORK 35