![INTRODUCTION
Fog computing is 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](https://image.slidesharecdn.com/fog-190502152419/85/Fog-Computing-3-320.jpg)
![Why we need fog?
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](https://image.slidesharecdn.com/fog-190502152419/85/Fog-Computing-4-320.jpg)
![OpenFog Consortium
OpenFog Consortium 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]](https://image.slidesharecdn.com/fog-190502152419/85/Fog-Computing-6-320.jpg)
![ OpenFog RA is 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](https://image.slidesharecdn.com/fog-190502152419/85/Fog-Computing-9-320.jpg)
Fog Computing
- 2. CONTENT Introduction Need of fog OpenFog Consortium OpenFog Reference Architecture Use cases Advantages References
- 3. INTRODUCTION Fog computing is 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
- 4. Why we need fog? 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
- 6. OpenFog Consortium OpenFog Consortium 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]
- 7. Key pillars of the OpenFog architecture framework Source :- openfogconsortium.org
- 8. OpenFog reference Architectural Model Source :- openfogconsortium.org
- 9. OpenFog RA is 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
- 10. Use Cases Transportation Scenario: smart Cars and Traffic control Smart Buildings Video Surveillance
- 11. Cloud Computing Fog Computing High latency Low latency No user-defined security User-defined security Prone to attack Safe from attack No location awareness Location awareness
- 13. 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
- 14. THANKYOU