The seminar presentation introduced fog computing, which extends cloud computing and services to the edge of the network. Fog computing provides data, compute, and application services to end-users. It was developed to address limitations of cloud computing like high latency and lack of location awareness. Fog computing improves efficiency, latency, security, and supports real-time interactions through geographical distribution of resources at the edge of the network. The presentation covered fog computing characteristics, architecture, applications in areas like smart grids and vehicle networks, and concluded that fog computing will grow in helping network paradigms requiring fast processing.

1. Seminar on
Fog Computing
Presented by:
Rawke Pranjali P.
Surnar Shital I.
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2. Contents:
1.Introduction
2.Need for Fog Computing
3.Fog solution to cloud limitations
4.Characteristics
5.Cloud vs Fog
6.Advantages
7.Fog Architecture
8.Application of Fog
9.Conclusion
10.References
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3. Introduction
 Fog Computing is a model that
extends Cloud computing and
services to the edge of the
network.
 Fog provides data, compute,
storage, and application services
to end-users.
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4. Need of fog computing
• Fog Computing keeps data right
where the Internet of Things needs
it.
• Fog computing was developed to
address applications and services
that do not fit the paradigm of the
cloud.
• Overcome Limitations of cloud
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5. Fog – Solution to Cloud’s
Limitations
 Improved security of encrypted
data as it stays closer to the end
user
 Improves efficiency.
 Improves Latency.
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6. Fig: Fog Computing
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7. Characteristics
 Geographical distribution
 Support for mobility
 Edge location
 Real time interactions
 Interoperability
 Heterogeneity
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8. CLOUD vs. FOG
Requirement Cloud Computing Fog Computing
Latency high low
Location of server
nodes
With in internet At the edge of local
network
security Undefined Can be defined
Location awareness No Yes
Geographical
distribution
Centralized Distributed
Real time interactions Supported Supported
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9. Components in Fog architecture
1. IoT Services.
2. Orchestration Layer.
3. Abstraction Layer.
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10. Fig: Components in Fog architecture
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11.  Orchestration Layer includes:
1. Software Agent : capable of bearing
orchestration functionality and performance
requirements that could be embedded in
various edge devices.
2. Distributed Storage : store meta-data.
3. Messaging bus : carry control messages for
resource management.
4. Distributed policy engine
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12. Fig: Policy-based orchestration framework
Retrieve
relevant
policies
Do
service
instances
satisfy
instances
constraint
s
Life Cycle
Manager
Capability engine
Service
Directory
Capabilitie
s
DB
Policy DB No
Policy Manager
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13. Fig: Data Management in Fog Computing
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14. Advantages
 More Security provided.
 Low latency
 Real time applications.
 Fog can be distinguished from
Cloud by its proximity to end-
users.
 Consumes less amount of band
width
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15. Applications of Fog
 Smart grids.
 Vehicle Networks.
 Smart Home.
 Health Data Management
 Smart City
 Augmented reality, cognitive systems,
and gaming
 Mobile Big Data Analytics
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16. Fig: Example of Smart grid.
Cloud
Server
Fog
Server
Fog
Server
Service
Provider
Customer
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17. Fig : Example of Vehicle Network
Fog Server Fog server
Cloud
Server
Network management
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18. Conclusion
 We have analyzed fog computing and
its real time applications.
 Fog computing performs better than
cloud computing.
 Fog computing will grow in helping
the network paradigms that require
faster processing.
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19. References
 Cisco RFP-2013-078. Fog Computing,
Ecosystem, Architecture and
Applications
 Computer Science and Information
System,2014 Federated Conference on
7-10 Sept. 2014
 Internet of Things by Rajkumar Buyya,
& Amir Vahid Dastjerdi, 1st Edition
 Fog Computing in the Internet of
Things, Rahmani,A.M., Liljeberg.
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20. References (Cont…)
 International Journal of Research in
Engineering and Technology eISSN: 2319-
1163 | pISSN: 2321-7308.
 H. Madsen, G. Albeanu, B. Burtschy, and F.
Popentiu-Vladicescu. Reliability in the utility
computing era: Towards reliable fog
computing. In IWSSIP. IEEE.
 F. Bonomi, “Connected vehicles, the internet
of things, and fog com- puting,” in The Eighth
ACM International Workshop on Vehicular
Inter- Networking (VANET), Las Vegas,
USA, 2011.
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21. Thank You...
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