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INTRODUCTION

Edge means literal geographic distribution. In the beginning, there was One Big Computer. Then, in the Unix era, we learned how to connect to that computer using dumb terminals. Next, we had personal computers.

What is Edge computing?

· Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth.

Edge Computi

Why Does Edge Computing matter?

Bandwidth: Bandwidth is the amount of data that a network can carry over time, usually expressed in bits per second. All networks have limited bandwidth, and the limits are more severe for wireless communication. This means that there is a finite limit to the amount of data or the number of devices that can communicate data across the network. Although it’s possible to increase network bandwidth to accommodate more devices and data, the cost can be significant, there are still (higher) finite limits and it doesn’t solve other problems.

How the Edge Computing Works?

· Edge computing works by pushing data, applications, and computing power away from the centralized network to its extremes, enabling fragments of information to lie scattered across distributed networks of the server.

Edge Computing Working

Edge Computing Architecture

Edge computing is a part of the overall architecture as it was necessary to provide key services at the edge. The following illustrates the implementation with further extensions having since been made.

The architecture of Edge Computing
Cloud Edge example

Edge Computing Use Cases

· Micro data centers: These are used wherever access to a full-scale database is limited, but there is a great need for computing power. They can be installed in remote facilities, in factories to power up IoT devices, or in any location where putting up a traditional data center would be impossible and moving computations into the cloud would be costly.

Edge computing Examples

· Manufacturing: An industrial manufacturer deployed edge computing to monitor manufacturing, enabling real-time analytics and machine learning at the edge to find production errors and improve product manufacturing quality. Edge computing supported the addition of environmental sensors throughout the manufacturing plant, providing insight into how each product component is assembled and stored and how long the components remain in stock. The manufacturer can now make faster and more accurate business decisions regarding the factory facility and manufacturing operations.

Manufacturing use case
Edge computing in Farming
Network Optimization using Edge Computing
Workplace Safety
Healthcare improvement using Edge Computing
Edge computing for the smart Transportations
Usecase in Retail Industry

Benefits of Edge Computing

· Autonomy: Edge computing is useful where connectivity is unreliable or bandwidth is restricted because of the site’s environmental characteristics. Examples include oil rigs, ships at sea, remote farms, or other remote locations, such as a rainforest or desert. Edge computing does the compute work on-site sometimes on the edge device itself such as water quality sensors on water purifiers in remote villages and can save data to transmit to a central point only when connectivity is available. By processing data locally, the amount of data to be sent can be vastly reduced, requiring far less bandwidth or connectivity time than might otherwise be necessary.

Autonomy
Data sovereignty
Security

Challenges of edge computing

· Limited capability: Edge computing deployment serves a specific purpose at a pre-determined scale using limited resources and few services.

Conclusion

Edge computing has revolutionized the way innovative technology works, bringing in added speed to operations. This is the technology that IoT demands. As requirements and demands out of technology increase, the trend of using cloud computing along with edge computing will get pushed further. Combining cloud and edge computing for IoT implementation spells your betterment.