Exploring Edge Computing: Accelerating IoT and Cloud Computing with Powerful Edge Technology 🔥🔥🔥

Exploring Edge Computing: Accelerating IoT and Cloud Computing with Powerful Edge Technology, What is Edge Computing, Edge Computing to accelerate IoT Devices and Cloud Computing, Single Board Computing, Edge Computing for Real Time Data Processing, Edge Computing Definitions.

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In this video, I am going to talk about this year’s one of the most trending technology buzzword ‘Edge Computing’ and it’s seamless integration with IoT devices and cloud computing to gain real time data processing.

let me quickly give you an overview of what is this trending technologies, people talk, in the beginning of every year.You must have heard from, technology talk shows, experts forum, tech articles, newsletters, journals, blogs and even lot of youTube videos, everywhere, pepople talk about a list of tehnologies trending for this year. more or less, they boil down to the same list like ArtificiaI Intellegence, Virtual Reality, 5G, Deep Learning, Machine Learning, Internet of Things, Big Data, blockchain, Edge Computing, Cloud Computing, even Quantum Computing. some of these technologies are already there for the past few years, some are new and ready for implementation, and some are aboslutely fresh and yet to find the business values.

Let’s have a quick overview of the topics:
- what is edge computing
- Traditional cloud computing and Edge Computing
- Benefits of Edge Computing
- Top 10 list of Potential Industries for Edge Computing
- Use Cases of Edge Computing
- List of devices used in Edge Computing
- Challenges of Edge Computing

In traditional cloud computing,
when IoT devices generate data, they send this data to cloud server every time for further data processing, as you can see, data processing happens on the cloud server which is far from the devices, it increases the network latency and consumption of internet bandwidth.

In edge computing, everything remains same, only the edge interface comes between IoT devices and cloud server. this edge could be directly connected with IoT device or configured closest possible to the device. the objective is to offload some of the required computing logic and small data - which is currently happening on cloud server side. by doing so, the data will not travel all the way back to the central server every time for the device to know that a function needs to be executed; therefore, edge computing network can greatly reduce latency and enhance performance. The speed and flexibility offered by this approach for handling data, creates an exciting range of possibilities for organizations.

Edge computing is new approach to network architecture where, first thing, cloud computing continues to play an important role, and secondly, the new possibilities offered by IoT devices which are capable of processing the data; are forcing companies to rethink their approach to IT infrastructure.

Edge computing benefits
1. Real time data processing – this is the core objective of edge computing, since the data computing happens locally, that can achieve real time data processing.
2. Reduces Latency- since the data is not travelling every time to cloud server, edge network can greatly reduce latency and can enhance data processing performance.
3. Reduces Internet Bandwidth usage and associated cost
4. server resources are free most of the time
5. More responsive and robust application performance
6. Improves business efficiency and reliability

Edge Computing Top 10 Potential Industries
1. Banking and Insurance
2. Healthcare/Life Science
3. Energy sector
4. Travel, Transports and Logistics
5. Infrastructure development
6. Airlines and shipping
7. Public sector - smart cities
8. Manufacturing
9. Agriculture
10. Retail


Edge Computing Top 10 use cases

1. Vision recognition with deep learning
2. motion detection application for security camera
3. wearable healthcare devices
4. autonomous vehicles
5. Smart homes IoT devices
6. Digital Image processing devices
7. Lane traffic congestion tracking
8. air quality, water quality and leakages, structure monitoring
9. logistics and containers tracking
10. sensor based data collection of farm equipment

More comprehensive list for potential industries and more than 100 use cases, please checkout Mckinsey& Company’s Edge Computing Report published recently

Please find the link below:
https://www.mckinsey.com/industries/t...

Edge Computing devices
1. Raspberry Pi
2. LattePanda Alpha
3. Jetson Nano
4. Udoo bolt
5. Intel Neuro compute stick 2
6. Google Coral Edge Tpu
7. Google Coral USB Accelerator

#techefx #EdgeComputing #IoT
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