Edge Computing and Networking Essentials
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 15 lectures (1h 23m) | Size: 679.7 MB
Edge Computing , Kubernates Distribution , Internet of Things and Protocols , Cloud and Edge integrations
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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