Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Edge Computing and Networking Essentials
Rating: 3.4 out of 5(29 ratings)
572 students

Edge Computing and Networking Essentials

Edge Computing , Kubernates Distribution , Internet of Things and Protocols , Cloud and Edge integrations.
Created byAbhinav Raj
Last updated 9/2024
English

What you'll learn

  • Edge Computing
  • Internet of Things
  • Configuration and Simple edge system designing
  • Edge System Maintenance
  • Cloud Networks and Kubernates
  • Edge Networking Protocols

Course content

4 sections • 15 lectures • 1h 23m total length

  • Introduction1:35
  • Edge computing Platforms7:15

    Explore edge computing platforms and APIs to develop applications, leveraging developer resources, tutorials, and packages for IoT, neural networks, and classification models.

  • Major Edge Projects13:08

    Explore edge computing essentials through open source projects, detailing edge virtualization with containers, VMs, and Kubernetes, secure device on board, distributed firewall, and hardware root of trust for IoT workloads.

  • IOT Development Using Edge Computing5:51

    Build an IoT solution using edge computing by configuring services, libraries, deployments, and devices while exploring external databases and predictive maintenance template.

  • IOT Development Using Edge Computing Part 26:53

    Develop three systems—sample engine, demonstration, and a predictive maintenance template—while exploring prediction and training services, IoT libraries, testing parameters, logs, and asset management via a public API.

  • Cloud based Edge Computing4:01

    Explore cloud resources for edge computing, including edge sync services, edge management tools, and Anthos, to deploy, manage, and scale edge devices and services.

Requirements

  • Everything will be taught ,basic knowledge will be good for agile learning.

Description

How many times have you experienced high latency? Probably, at least several times during your life. This is often an issue with weak and unoptimized networks.

Edge computing brings the capabilities of cloud close to the end-user or end-device. There are debates around edge computing vs fog computing. In reality, the two have similar objectives. A small difference is that fog computing can include running intelligence on the end-device and is more Internet of Things (IoT) focused.

The edge spans anywhere between the end-device and the cloud/internet. However, telco edge computing is a subset of this.

There are multiple potential locations for telco edge computing on and off the public network. These include customer premises, cell towers, street cabinets, and network aggregation points in the access and core network. The decision for where to put edge compute infrastructure for a telco depends on three factors:

a) the telco’s current network architecture
b) the virtualisation roadmap, which is where you plan data centre facilities for network applications
c) demand and the use cases telcos have to cater to.

Related topics

  • Cloudlet

  • Content delivery network

  • Edge Data Integration

  • Edge device

  • Fat client

  • Fog computing

  • Heterogeneous computing

  • Industry 4.0

  • Mobile edge computing

  • Personal computer

  • Serverless architecture

  • Smart camera

  • Ubiquitous computing

Edge Computing Success Across A Wide Range Of Industries

Automation

Mobile and IOT

Smart Devices

Predictive Maintenance

Remote Monitoring Of Oil & Gas Assets

Intelligent Transportation Systems

Deeplearning and ml applications


Who this course is for:

  • Computing Students.
  • Researchers.
  • IOT and Devops Developers.
  • Compute platform professionals.
  • Networking Professionals.
  • Solution and innovation driven people.

Report abuse