- Edge Computing , Kubernates Distribution , Internet of Things and Protocols , Cloud and Edge integrations.
- Free tutorial
- Rating: 3.0 out of 53.0 (23 ratings)
- 363 students
- 1hr 24min of on-demand video
- Created by Abhinav Raj
- 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
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.
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Course content
4 sections • 15 lectures • 1h 23m total lengthCollapse all sections
Introduction6 lectures • 39min
- Introduction01:35
- Edge computing Platforms07:15
- Major Edge Projects13:08
- IOT Development Using Edge Computing05:51
- IOT Development Using Edge Computing Part 206:53
- Cloud based Edge Computing04:01
IOT Discussion5 lectures • 26min
- Major IoT Clouds06:08
- Kubernetes Networking07:04
- Multi-Cluster Networking04:56
- Kubernetes Distributions04:01
- Distributed Filesystems (Object Store)04:03
Edge Computing Architecture and Discussion3 lectures • 18min
- Edge FAQs08:57
- Edge Messaging Protocols04:29
- MQTT04:51
Appreciation Note1 lecture • 1min
- Conclusion00:41
