Fog Computing

Fog Computing

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  FOG COMPUTING RASHID ANSARI 170847980002 MTECHACDS
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  CONTENT  Introduction  Needof fog  OpenFog Consortium  OpenFog Reference Architecture  Use cases  Advantages  References
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  INTRODUCTION  Fog computingis a horizontal, system-level architecture that distributes computing, storage, control and networking functions closer to the users along a cloud-to-thing continuum[1].  It has three essential attributes[1]:  Horizontal Architecture  Cloud-to-things Continuum  System-level
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  Why we needfog?  According to Cisco report Total volume of data generated b IoT will reach 600 ZB per year by , which is 275 times higher than projected traffic going from data centers to end users/devices, 39 times higher than total projected data center traffic[2].  Problem with cloud[1] High latency Cost Security Source :- openfogconsortium.org
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  Source :- openfogconsortium.org
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  OpenFog Consortium  OpenFogConsortium aimed at the standardization and promotion of fog computing in various capacities and fields.  The goal is to create an open reference architecture for fog computing, build operational models and testbeds, define and advance technology, educate the market.  OpenFog released its reference architecture for fog computing on 13 February 2017.[5]  In July 2018, the IEEE Standards Assocation announced it had adopted the OpenFog Reference Architecture as the first standard for fog computing.[6]
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  Key pillars ofthe OpenFog architecture framework Source :- openfogconsortium.org
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  OpenFog reference ArchitecturalModel Source :- openfogconsortium.org
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   OpenFog RAis a composite of perspectives and multiple stakeholder views used to satisfy a given fog computing deployment or scenario[4].  The three views that include Software, System, and Node.  Software view :- is represented in the top three layers shown in the architecture description, and include Application Services, Application Support, and Node Management (IB) and Software Backplane.  System view :- is represented in the middle layers shown in the architecture description, which include Hardware Virtualization down through the Hardware Platform Infrastructure.  Node view :- is represented in the bottom two layers , which includes the Protocol Abstraction Layer and Sensors, Actuators, and Control
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  Use Cases Transportation Scenario:smart Cars and Traffic control Smart Buildings Video Surveillance
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  Cloud Computing FogComputing High latency Low latency No user-defined security User-defined security Prone to attack Safe from attack No location awareness Location awareness
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  Advantages Real-time processing Privacy Cost
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  References 1. https://www.openfogconsortium.org 2. http://www.researchnester.com/reports/internet-of-things-iot-market-global- demand-growth-analysis-opportunity-outlook-2023/216 3.J. Li, J. Jin, D. Yuan and H. Zhang, "Virtual Fog: A Virtualization Enabled Fog Computing Framework for Internet of Things," in IEEE Internet of Things Journal, vol. 5, no. 1, pp. 121-131, Feb. 2018. doi: 10.1109/JIOT.2017.2774286 4. https://www.openfogconsortium.org/ra 5. http://www.iotjournal.com/articles/view?15674 6. https://standards.ieee.org/findstds/standard/1934-2018.html
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  THANKYOU