Edge computing is a distributed computing topology in which information processing is located near the edge—where things and people produce or consume that information.
The explosive growth of Internet-connected devices—the Internet of Things—along with new applications that demand real-time computing power continues to drive edge computing.
HOW DOES EDGE COMPUTING WORK?
We have various devices like laptops, phones and IoT devices in the data center, now the data will be processed only at this location. now location based edge nodes like in India wherever you live you can see many internet connected devices within 1 km or 2 km radius.
Now we create a data center for a specific area instead of sending that data miles away. suppose right now our device is not enabled for edge computing, our data will not be processed. To solve this problem, make any data that the processing center will process sent to the main cloud server from the processing center in a certain region. In short, the data will pass through the edge node (process node), the important thing will continue towards the Datacenter. In the future, our data will be processed from IoT devices. The advantage of this feature is now not using bandwidth to transfer data from one node to another. Important dates will be moved forward.
Edge gateway (node) - act as an edge device.
An edge gateway can process data from the edge device and then send only the relevant data back over the cloud, reducing bandwidth requirements. or it can send data back to the edge device when needed by real-time applications.
- Edge devices are IoT sensors, laptops and security cameras.
- Edge gateways are also called edge devices within the edge computing infrastructure.
Advantages
- Cost savings by using less bandwidth.
- Reduce latency (the time it takes for a device to transfer data from one source to another), automatic performance will be high.
- The provision of new functions means that large companies will process, analyze and use data in their place based on which they create new strategies.
- Simplified maintenance
- Cheaper cooling (cost reduction)
Use cases
- Security system monitoring
- Self-driving cars
- IoT devices
- Medical monitoring device
- Video conference
- More efficient caching
Disadvantage
- Privacy and security
- Can increase attack vectors
- Requires more local hardware (embedded computer)
Edge computing, IoT and 5G possibilities
It will provide a complementary service to 5G, on the one hand, we are trying, our data bandwidth should be less used, on the other hand, we want to increase the size of the bandwidth. Through 5G also affect edge computing more successful in the coming years.
Function
- Enabling virtualization and automation options.
- Better vehicle autonomy and workload migration to the edge.
- Wireless networks are more flexible and cost-effective.
Conclusion
Edge computing has gained attention with the rise of the Internet of Things and the sudden deluge of data these devices produce. The evolution of IoT devices will also have an impact on the future development of edge computing.
