DCN June 2017 - Page 25

big data & IoT through smartphones, tablets, cars and laptops, plus every traffic light, road, building, home and domestic electronic device, the sheer amount of data produced will be astronomical. Managing this is critical to ensuring smart cities become a reality. Eighty per cent of all the data in the world has been created in the last few years, and by 2020 an estimated 1.7 megabytes of new information will be created per second for every human on the planet. The collection, storage and analysis of this data requires processing technology at a scale unthinkable a few short years ago. Transmission of data A particular issue in smart cities enablement is the transmission of this data. When it is being transferred, the sheer volume of data to be stored will be enough to encourage organisations to begin connecting their services to cloud based systems. Physical storage requirements would soon extend beyond reasonably available floor space with the level of data being stored and shared, so a tempting solution is to store data in the cloud. Globalisation plays a critical part in this too. Businesses are connected across the world and national boundaries are no barrier to the transfer of data through emails, video conferencing, instant messaging and other digital communication methods. Although cloud based storage is already proving instrumental in data driven industries, it has its limitations. The more data that’s stored in one place, the harder it is to move. This applies to public and private cloud storage as well as physical storage. The simple fact is that cloud based systems cannot handle the storage, transmission Global reach and manipulation of the level of data that a smart city demands. So how can this be achieved? How can we manage Big Data? Fundamentally, fully exploiting the potential of Big Data is dependent on the way in which it is managed. Innovators in network architecture are rising to t R6VvPF&Vv77FV2FBV&PVff6VB&VFRv&rWfVf"FR&vW7BFF6WG2B7@FVFrƖ6F2F&VvWBvVW&FFF6&rWGv&2vrWfVFR7BFFG&fVfVG27V60v2BVF6&RFW&FP&VFVǒWr7FF&G2FFG&6֗76&R&Vr6WBFVVB&VFRv&rFW6RGW7G&W0v2VF&V6VFǒ6VV2খ76&RVf'v&BGVRFFPfVRbf&F&WV&VB'FW6R&v6F2FW&FRfr&vRFF6WG206VvrFF2gFV&W7@7F&VBFF6VG&W2'WBF067&VFR6WWGv&&6FV7GW&RvW&VFRVvPVBbFF&WV&VB'Ɩ6F27F&VBvg&FPƖ6FG6VbfrFBFF&V6W2WG&VVǒ&&VF2BF2Bb77FVv@6W'fR6'B6FW2VffV7FfVǒ&R7G&VƖVBWGv&&6FV7GW&R2&WV&VBFVWFFFRfRBV&PƖ6F2vFWfVFPw&VFW7B&Gv&RFVG07V62FR$6gGv&RW6V@'&6FV7G2VvVW'2@67G'V7Fv&W'2'VFp6'B6FW2F&RW6VB琦FWf6RWGv&&6FV7G2&PVW&rv2FR'W6W70Ɩ6F2BFF66W76&Pf'&B6VB&6VB77FV2vr&VFR66W72F&PFRWfVvVFW&R&RVvPVG2bFFF&RG&6fW'&VB( gVǐWFpFRFVFb&rFF2FWVFV@FRvv6B0vVB( 77FV2&RVW&vrF7F&RFPFFƖ6FB&Gv&RFRFF6VG&R&FW"F&P&W7G&7FVBF&VFR66W72f66W'fW'2v6&RgFVǐ66W76&R'w&Wb6WFW'06V7FVBFFR6RWGv&FR6Rff6R6W26আfRG'Vǒv&&V6F26R&6@FV6w66fRFRFF&&V2VVFVBF&VƗ6RFPFVFbFR6'B6G0FF6&RvVB&PVffV7FfRv2Bw2V6W fVVBbFFBW76V2FPVffV7BbFFw&fGr&pFFvVVB&RVff6VBV&Ɩr&VFRv&r@f7FW"FFG&6fW"fFR6VB0FRWFF'&~( 26'B6FW2ख6'&FrF2W@vVW&FFFvVV@77FVFFR6'B6FW>( 66VW2'&w2g&7Fg&VPWGv&f"6'B6FW2vpV6W76'FF6&rFVvFWBG&6Rg&Vv777FV2BvFWBFRVVBf WV6fRWrg&7G'V7GW&RFR&FFR6FW0Vff6VBBƗfV&Rf"FV &FG22FW&RvWFW"Ɩ6FV2&FG2FfB&r76RF'0FRWfV2b&V76ƖrVpvF6G"7&VFW26fW Vf&VG2f"VRFƗfPB27&V6vǒ&V6v6VB0fFf"FR&BW&&6F7W'&VFǒFr6R'&@6VB77FV26rRF0&F&VƗGFRgWGW&R2'&vBf"6'@6FW2vFWrFWfVVG0BfF2&VrFPWfW'6V6BVrFW6P6FW2&R&V6֖r&PW6W"g&VFǒf"FV"gWGW&P&FG2vWfW"FRvv6&rFF2vV@v&R7&F6f"FR7V66W76gVV&VVBbFW6R6FW2धVR#r#P