Fog computing
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The document discusses fog computing as a key technology for IoT, highlighting its architecture, characteristics, and applications while differentiating it from edge computing. It explores various deployment models and outlines risks and challenges such as security and privacy issues. The conclusion emphasizes the suitability of fog computing for IoT, stating that continuous advancements are necessary to address existing concerns.
Fog computing
- 1. F O G C O M P U T I N G T H E F U T U R E O F I O T T E C H N O L O G Y By: Priti Vishwakarma -
- 2. TA B L E O F C O N T E N T S : • What is Fog Computing? • Architecture of Fog Computing • Characteristics of Fog Computing • Difference between Edge and Fog Computing • Fog Deployment Models • Applications of Fog Computing • Risks and Challenges • Conclusion
- 3. W H AT I S F O G C O M P U T I N G ? Clou d On Premises Data Storage issues Data security High maintenance cost Scalability issues Data Recovery Centralized remote cloud servers High Data security No maintenance cost to pay Cost efficient - Pay on demand Strong Data Recovery mechanism Latency issue Edge Computing Fog Nodes Fog Nodes Fog Computing Fog Nodes
- 4. F O G C O M P U T I N G A R C H I T E C T U R E Cloud Layer (WAN) Fog Layer (LAN) Edge Layer Sensors & controllers (Data Origination) IoT Devices Applicatio n Applicatio n Applicatio n Applicatio n Applicatio n Applicatio n
- 5. C H A R A C T E R I S T I C S O F F O G C O M P U T I N G Geographical distribution Real time interaction Save storage space Low Latency Heterogeneity support Mobility Support Decentralization Location Awareness
- 6. D I F F E R E N C E B E T W E E N E D G E & F O G Location of data collection and processing Storage Handling multiple IoT Applications Resource Contention Focus Fog Computing Edge Computing Network edge Near Edge Edge devices Network edge devices and core networking devices Unsupported Supported Serious resource contention Slight resource contention IoT Device level Infrastructure level
- 7. F O G D E P L O Y M E N T M O D E L S Private organization or 3rd party Company, Academic institute or Government organization One or more Organizations in the Community Combines the use of public/private/community fog with public/private cloud. scalable, elastic & available on- demand.
- 8. A P P L I C AT I O N S O F F O G C O M P U T I N G Live Map Live Video Broadcasting Visual security and surveillance for smart cities Traffic Congestion Management Smart Buildings Patient Monitoring Autonomous Driving Smart Street Lamp Vehicular Pollution Control
- 9. R I S K S A N D C H A L L E N G E S Authentication issue Cloud service provider Internet service provider End users Fog service providers Trust issue Rogue Fog node Manipulate signals Launch attacks Privacy issue Wireless technology Too many networks involved Interconnected fog nodes Risk to sensitive user information Security issue IP Address Many devices connected at different gateways Risk of hacking a particular fog node Fog server Selection of fog server To deliver maximum service Reduce maintenance cost
- 10. C O N C L U S I O N : The characteristic of fog computing such as mobility, place close to the end user, location awareness, heterogeneity and their real-time applications, makes fog computing paradigm a more suitable platform for the internet of things. However, various security and privacy issues may encounter and hence the design, architecture and implementation of this technology should be carefully encrypted. 5G is one of the most talk about implementation of this technology however, this technology is still advancing day by day to overcome risks and challenges.