FG2-1 fog computing in cloud computing.ppt
- 2. 01/21/2025 Fog Computing 2 What is FOG Computing. The term “FOG COMPUTING” was introduced by the Cisco systems ,a bridge between IoTs and the Cloud FOG Computing is technology that extends cloud computing and services to the edge of the network. It provides data , compute ,storage and application services to the users like cloud Fog computing is an emerging technology that is basically used for Internet of Things (IoT)
- 3. 01/21/2025 Fog Computing 3 Fog extends cloud to be closer to things that produced data. Fog can be distinguished from cloud by its proximity to end-users.
- 5. 01/21/2025 Fog Computing 5 A simple three level hierarchy as shown in above Figure In this framework, each smart thing is attached to one of Fog devices. Fog devices could be interconnected and each of them is linked to the Cloud. As Fog computing is implemented at the edge of the network, it provides low latency, location awareness, and improves quality-of- services (QoS) for streaming and real time applications.
- 6. 01/21/2025 Fog Computing 6 When to use FOG Computing? • 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 • Its used when ever a large number of services need to provided over a large area at different geographical locations • It is used when the data should be analyzed with in a fraction of seconds
- 7. 01/21/2025 Fog Computing 7 SECURING CLOUDS WITH FOG
- 8. 01/21/2025 Fog Computing 8 Cloud and IoT: Fog can develop anywhere in-between the two
- 9. 01/21/2025 Fog Computing 9 Application Areas • Smart cities: collect data on city activities e.g. traffic (change signals on surveillance of incoming traffic to prevent accidents or reduce congestion. Data could also be sent to the cloud for longer-term analytics) • Wearable Technology: data from wearable sensors need to be processed locally to inform user and also communicated to the cloud • Wellbeing: monitor environmental conditions in house, health status, in house operations for improving the quality of living especially for elderly, disabled • Industry 4.0: a sensor on a critical machine sends readings associated with imminent failure
- 10. 01/21/2025 Fog Computing 10 What you get ? • FOG filters and analyzes the most time intensive data at the network edge close to where it is generated • Milliseconds matter when trying to prevent manufacturing line shutdowns and make the difference between averting disaster and a cascading system failure • Benefits include • Greater business agility, security • Deeper insights, improved privacy • Lower operating cost (bandwidth, storage, processing) • Sends data loads to cloud only for storage and further data analysis (big data analysis)
- 11. 01/21/2025 Fog Computing 11 Cloud Vs FOG • Fog and Cloud will co-exist and work together • FOG will carry-out substantial amount of storage at or near end-user rather than on large scale data center • FOG will carry-out substantial amount of communication at or near the end-user rather than all routed through the backbone network • FOG will carry-our substantial amount of management, control and configuration at or near the end-user rather than on large scale servers • The decision on what functions move to Cloud or keep at FOG nodes is not always easy, depends on application
- 12. 01/21/2025 Fog Computing 12 Fog Architecture (by Cisco)
- 13. 01/21/2025 Fog Computing 13 Example Architecture FOG NODE
- 14. 01/21/2025 Fog Computing Principles of FOG: 1. Security: end-to-end, node and network security 2. Scalability: nodes, networks, storage and all services are scalable without disrupting system performance 3. Openness: nodes info and functionality is transparent to applications, nodes can be created anywhere and be discovered / connected / used, while ensuring security/safety/privacy 4. Autonomy: no single point of failure 5. Programmability: nodes can be reprogrammed or updated 6. Reliability: high availability (uptime) 7. Agility: transform data into actionable insights, quickly respond to changes 8. Hierarchy: not prerequisite, resources can be seen as a logical hierarchy based on the functional requirements of the IoT system 14
- 15. 01/21/2025 Fog Computing 15 FOG Hierarchy Examples
- 16. 01/21/2025 Fog Computing 16 Examples 1 & 2 • Example 1: fog deployment hierarchy independent of the cloud • E.g. the cloud can’t be used due to regulatory compliance, security and privacy reasons, unavailability of a central cloud in an area • armed forces combat systems, drone operations, some healthcare systems, hospitals, and ATM banking systems • Example 2: information processing in fog deployments located close to the infrastructure/process being managed. • commercial building management, commercial solar panel monitoring, cable tv etc.
- 17. 01/21/2025 Fog Computing 17 FOG Hierarchy Examples
- 18. 01/21/2025 Fog Computing 18 Examples 3 & 4 • Example 3: local fog for time-sensitive computation, the cloud is used for operational and business- related information processing • Example 4: constrained environments in which the deployment of fog infrastructure may not be feasible or economical • E.g. Agriculture, whether stations, connected cars
- 19. 01/21/2025 Fog Computing 19 Advantages of FOG Computing 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
- 20. 01/21/2025 Fog Computing 20 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 is too much complex as tasks can be moved between client and fog nodes Achieve data consistency in computing is challenging and requires more effort
- 21. 01/21/2025 Fog Computing 21 conclusion Fog computing aims to reduce processing burden of cloud computing . Fog computing reduces the volume of data that is sent to the cloud .It brings data processing, networking ,storage and analytics closer to devices and applications that are working at the network’s edge .That’s why fog computing today’s trending technology mostly for IoT Devices
- 22. 01/21/2025 Fog Computing 22
- 23. 01/21/2025 Fog Computing 23 Thank you