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EDGE COMPUTING
BY:
SURYA K
III DCE
Overview of Edge Computing
• Edge Computing is a distributed computing paradigm in which
processing and computation are performed mainly on classified
device nodes known as smart devices or edge devices as
opposed to processed in a centralized cloud environment or
data centers.
• It helps to provide server resources, data analysis, and artificial
intelligence to data collection sources and cyber-physical
sources like smart sensors and actuators.
Why is Edge Computing Important?
• New Functionalities are offered.
• Easier configurations.
• Hacking Potential is increased.
• The load on the server is reduced.
• Load on Network is reduced.
• Application Programming Interface.
• Increases Extensibility.
• Centralized Management.
• Costs of Licensing.
• Support and Updates.
Is edge computing seen as necessary?
• In the realization of physical computing, smart cities, computing,
multimedia applications such as augmented reality and cloud gaming, and
the Internet of Things (IoT).
• It is a way to streamline the movement of traffic from IoT devices and
implement real-time local data analysis.
• Data produced by the Internet of Things (IoT) devices to be processed
where it is created instead of taking away to the routes to data centers with
the help of edge computing.
• It also benefits Remote Office/Branch Office (ROBO) environments and
organizations that have dispersed user base geographically.
Edge Computing Terms and Definitions
Edge
• It highly depends on the use cases.
• Like in telecommunication, it may be a cell phone or cell tower.
• Similarly, in the automotive example, it could be a car.
• In manufacturing, it could be a machine, and
• In the Information Technology field, it could be a laptop.
Edge Devices
A device which produces data is edge devices like machines and sensors,
or any devices through which information is collected and delivered.
Edge Gateway
• It’s a buffer where edge computing processing is done.
• The gateway is the window into the environment beyond the edge of the network.
Fat Client
It’s a software that processes data in edge devices, which is opposite to thin client,
which hardly transfers data.
Edge Computing Equipment
• Devices like sensors and machines can be outfitted to work in edge computing.
• Environments by making the internet accessible.
Mobile Edge Computing
It signifies the growth of edge computing systems in telecommunication systems
like 5G scenarios.
Edge Computing Architecture
• Cloud Modules
• Legacy Cloud Apps
• Edge Run time
• Cognitive, Storage, Analytics
Cloud
• Edge Modules
• Gateway Services
Gateway
Internet of Things (IoT) and Edge Computing
• In IoT, with the help of edge computing, intelligence moves to
the edge.
• There are various scenarios where speed and high-speed data
are the main components for management, power issues,
analytics, and real-time need, etc. helps to process data with
edge computing in IoT.
Benefits of Enabling Edge Computing for
the Internet of Things (IoT)
• Lesser Network Load
• Zero Latency
• Reduced Data Exposure
• Computational Efficient
• Costs and Autonomous Operation
• Security and Privacy
Edge Comp.pptx

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Edge Comp.pptx

  • 2.
  • 3.
  • 4. Overview of Edge Computing • Edge Computing is a distributed computing paradigm in which processing and computation are performed mainly on classified device nodes known as smart devices or edge devices as opposed to processed in a centralized cloud environment or data centers. • It helps to provide server resources, data analysis, and artificial intelligence to data collection sources and cyber-physical sources like smart sensors and actuators.
  • 5.
  • 6. Why is Edge Computing Important? • New Functionalities are offered. • Easier configurations. • Hacking Potential is increased. • The load on the server is reduced. • Load on Network is reduced. • Application Programming Interface. • Increases Extensibility. • Centralized Management. • Costs of Licensing. • Support and Updates.
  • 7. Is edge computing seen as necessary? • In the realization of physical computing, smart cities, computing, multimedia applications such as augmented reality and cloud gaming, and the Internet of Things (IoT). • It is a way to streamline the movement of traffic from IoT devices and implement real-time local data analysis. • Data produced by the Internet of Things (IoT) devices to be processed where it is created instead of taking away to the routes to data centers with the help of edge computing. • It also benefits Remote Office/Branch Office (ROBO) environments and organizations that have dispersed user base geographically.
  • 8. Edge Computing Terms and Definitions Edge • It highly depends on the use cases. • Like in telecommunication, it may be a cell phone or cell tower. • Similarly, in the automotive example, it could be a car. • In manufacturing, it could be a machine, and • In the Information Technology field, it could be a laptop. Edge Devices A device which produces data is edge devices like machines and sensors, or any devices through which information is collected and delivered.
  • 9. Edge Gateway • It’s a buffer where edge computing processing is done. • The gateway is the window into the environment beyond the edge of the network. Fat Client It’s a software that processes data in edge devices, which is opposite to thin client, which hardly transfers data. Edge Computing Equipment • Devices like sensors and machines can be outfitted to work in edge computing. • Environments by making the internet accessible. Mobile Edge Computing It signifies the growth of edge computing systems in telecommunication systems like 5G scenarios.
  • 10. Edge Computing Architecture • Cloud Modules • Legacy Cloud Apps • Edge Run time • Cognitive, Storage, Analytics Cloud • Edge Modules • Gateway Services Gateway
  • 11.
  • 12. Internet of Things (IoT) and Edge Computing • In IoT, with the help of edge computing, intelligence moves to the edge. • There are various scenarios where speed and high-speed data are the main components for management, power issues, analytics, and real-time need, etc. helps to process data with edge computing in IoT.
  • 13. Benefits of Enabling Edge Computing for the Internet of Things (IoT) • Lesser Network Load • Zero Latency • Reduced Data Exposure • Computational Efficient • Costs and Autonomous Operation • Security and Privacy