This document discusses fog computing. Fog computing extends cloud computing by providing data, compute, storage, and application services closer to the edge of the network. It was introduced by Cisco to efficiently share and store data between distributed devices in the Internet of Things. Fog computing helps address issues with cloud computing like high latency by processing data locally at edge devices instead of sending all data to a centralized cloud. It provides advantages like improved security, reduced data transfers across networks, and better support for real-time applications. The document compares fog and cloud computing and concludes that fog computing will grow in helping network paradigms that require fast processing.

1. FOG COMPUTING
PRESENTED BY,
SABA FARHEEN MUNSHI
UNDER THE GUIDANCE OF,
PROF. V SASWADE
SHRI SHIVAJI INSTITUTE OF ENGINEERING AND
MANAGEMENT STUDIES

2. CONTENTS:
 Abstract.
 Introduction.
 Existing System
 Disadvantages
 Proposed System with Advantages
 Cloud verses Fog Computing
 Conclusion.
 Future Enhancement.
 References.

3. ABSTRACT:
Fog Computing is a paradigm that extends
Cloud computing and services to the edge of the network. Similar
to Cloud, Fog provides data, compute, storage, and application
services to end-users. Examples include phones, online shopping
system, smart traffic light in vehicular network and software defined
network.

4. INTRODUCTION:
 CISCO system introduced the term ”Fog Computing” as new model to ease
wireless data transfer to distributed devices in the Internet of Things (IoT)
network paradigm.
 In Fog Computing, devices communicate peer-to-peer to efficiently share
or store data and take local decisions.

5. Fog
Cloud
Locations
Edge
Core

6. EXISTING SYSTEM
 Cloud computing has provided many opportunities for enterprises by
offering their customers a range of computing services. Current “pay-as-
you-go”.
 Cloud computing model becomes an efficient alternative to owning and
managing private data centers for customers facing Web applications

7. DISADVANTAGES:
 It does not verify whether the user was authorized or not.
 No body is identified when the attack is happen.
 We can not detect which file was hacking.
 Data latency
 Security issues

8. PROPOSED SYSTEM WITH ADVANTAGES:
 Improved security of encrypted data as it stay closer to the end-user.
 Reduction in data movement across the network.
 Fog devices are geographically distributed over heterogeneous platform.
 It provides low latency, location awareness, and improves quality-of-
services (QoS) and real time applications.

9. CLOUD VS FOG:

10. CONCLUSION:
 We have analysed 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.

11. FUTURE ENCHANCEMENT:
 Future work will expand on the Fog computing paradigm in Smart Grid,
Smart cities, Smart home, Traffic signals, Wireless sensor network,
Software define network(SDNs) , IoT.
 Next, Fog computing based SDN in vehicular networks will receive due
attention.

12. REFERENCES :
[1] Wikipedia.com
[2] IEEE papers

13. Thank You…