fog computing is an IBM Convept of foundation of computer science.pptx
- 2. What is Fog computing ? Fog Computing is the term coined by Cisco that refers to extending cloud computing to an edge of the enterprise’s network. Thus, it is also known as Edge Computing or Fogging. It facilitates the operation of computing, storage, and networking services between end devices and computing data centers. 1. The devices comprising the fog infrastructure are known as fog nodes. 2. In fog computing, all the storage capabilities, computation capabilities, data along with the applications are placed between the cloud and the physical host. 3. All these functionalities are placed more towards the host. This makes processing faster as it is done almost at the place where data is created. 4. It improves the efficiency of the system and is also used to ensure increased security.
- 3. When to use fog computing? 1. It is used when only selected data is required to send to the cloud. This selected data is chosen for long-term storage and is less frequently accessed by the host. 2. It is used when the data should be analyzed within a fraction of seconds i.e Latency should be low. 3. It is used whenever a large number of services need to be provided over a large area at different geographical locations. 4. Devices that are subjected to rigorous computations and processings must use fog computing. 5. Real-world examples where fog computing is used are in IoT devices (eg. Car-to-Car Consortium, Europe), Devices with Sensors, Cameras (IIoT- Industrial Internet of Things), etc
- 4. Advantages of fog computing. • This approach reduces the amount of data that needs to be sent to the cloud. • Since the distance to be traveled by the data is reduced, it results in saving network bandwidth. • Reduces the response time of the system. • It improves the overall security of the system as the data resides close to the host. • It provides better privacy as industries can perform analysis on their data locally.
- 5. Disadvantages of fog computing. • Congestion may occur between the host and the fog node due to increased traffic (heavy data flow). • Power consumption increases when another layer is placed between the host and the cloud. • Scheduling tasks between host and fog nodes along with fog nodes and the cloud is difficult. • Data management becomes tedious as along with the data stored and computed, the transmission of data involves encryption-decryption too which in turn release data.
- 6. Applications of fog computing. • It can be used to monitor and analyze the patients’ condition. In case of emergency, doctors can be alerted. • It can be used for real-time rail monitoring as for high-speed trains we want as little latency as possible. • It can be used for gas and oils pipeline optimization. It generates a huge amount of data and it is inefficient to store all data into the cloud for analysis.
- 7. Challenges of fog computing Authentication and Trust issues Authentication is one of the most concerning issues of fog computing since these services are offered at a large scale. Fog service providers can be different parties like cloud service providers, internet service providers, and end-users. Privacy Privacy concerns are always there when there are many networks involved. Since fog computing is based on wireless technology, there is a huge concern regarding network privacy. There are so many fog nodes that each end-user is accessible to them, and because of this, more sensitive information passes from end-users to the fog nodes.
- 8. Challenges of fog computing. Security Fog computing security issues arise as there are many devices connected to fog nodes and at different gateways. Each device has a different IP address, and any hacker can fake your IP address to gain access to your personal information that is stored in that particular fog node. Energy consumption Energy consumption is very high in fog computing as the number of fog nodes present in the fog environment is high and requires energy to work.