FOG COMPUTING is and excitement development

This project is good and we can improve skills in this project

1. FOG COMPUTING
BY
Nagarjun N
U03MB21S0123

2. CONTENTS:
1.DEFINTION
2.COMPONENTS
3.BEST PRACTICES
4.TYPES
5.ARCHITECTURE
6.PROS AND CONS
7.APPLICATIONS
8.CONCLUSION

3. DEFINITION
Fog computing is a type of computing where data and
applications are stored and processed closer to the devices
that generate the data, rather than in a centralized cloud.
Introduced by Cisco, this approach helps improve the
performance and efficiency of cloud computing by
handling tasks locally, closer to the source of the data. It's
also known as fogging or edge computing and ensures
smooth operation between your devices and big data
centers.

4. 1.Physical &virtual nodes (end devices): These devices are data generators
and can span a large spectrum of technology.
2. Fog nodes: Fog nodes are independent devices that pick up the generated
information.
3. Monitoring services: Monitoring services usually include application
programming interfaces (APIs) that keep track of the system’s performance and
resource availability.
4. Data processors: Data processors are programs that run on fog nodes.
5. Resource manager: Fog computing consists of independent nodes that must
work in a synchronized manner.
6. Securitytools: Security must be built into the system even at the ground
level.
7. Applications: Applications provide actual services to end-users.

5. Top 10 Fog Computing Best Practices to Follow

6. Four Types of Fog Computing.
The four main types of fog computing are mentioned below.
•Device-levelfog computingruns on devices such as sensors, switches, routers, and other low-powered hardware.
It can be used to gather data from these devices and send it to the cloud for analysis.
•Edge-level fog computingruns on servers or appliances located at the edge of a network. These devices can be
used to process data before it is sent to the cloud.
•Gateway-level fog computingruns on devices that act as a gateway between the edge and the cloud. These
devices can be used to manage traffic and ensure that only relevant data is sent to the cloud.
•Cloud-level fog computingruns on servers or appliances located in the cloud. These devices can be used to
process data before it is sent to end users.

7. Hierarchical Fog Computing Architecture
•IoT layer: This layer comprises IoT devices, such as sensors
or smartphones.
•Fog layer: Composing many fog nodes, this layer is the core
of the fog computing architecture.
•Cloud layer: This layer is mainly composed of the
centralized cloud infrastructure.

8. ADVANTAGES
➢Privacy
Fog computing can be used to control the extent of privacy
➢Productivity
If customer needs to make the machine function according to the way they want, they can utilize fog applications.
➢Security
Fog computing has the capability to connect multiple devices to the same network.
➢Bandwidth
The bandwidth required for transmitting data can be expensive depending upon the resources
➢Latency
Another benefit of processing selected data locally is the latency savings.

9. DISADVANTAGES
➢Complexity
Due to its complexity, the concept of Fog computing can be difficult to understand.
➢Power Consumption
The number of fog nodes present in a fog environment is directly proportional to the energy consumption of
them.
➢Deployment and Configuration Complexity:
Deploying fog nodes in diverse and potentially remote locations can be logistically challenging.
➢Maintenance
Unlike cloud architecture, where maintenance is made seamless, it is not so in fog.

10. FOG COMPUTING USE CASES
Even though fog computing is anticipated to grow at a rapid rate, it is still a technology that is most
popular within industries that need data close to the network edge.
•Hospitality
•Retail
•Wearables
•Smart buildings
•Agriculture
•Government
•Military

11. Fog computing is an exciting development in technology that addresses the need for data processing and
storage closer to the data source, such as sensors and smart devices, rather than relying solely on
centralized data centers.
By placing computation and data storage at the edge of the network, fog computing significantly
reduces latency and improves performance for tasks that require real-time responses. This is particularly
beneficial for applications in smart cities, healthcare, industrial automation, and the Internet of Things
(IoT), where rapid data processing and minimal delay are critical.
CONCLUSION

12. THANK YOU