The underlying principle of edge computing architecture is “Bring the storage and computation closer to the point where data is generated.”
In a traditional client-server architecture, data is generated at the client endpoint, such as the user’s computer.
It travels through WAN, LAN, and ultimately reaches data centers where enterprise applications work upon it. Then, the results of the process are sent back to the client endpoint.
Though this is a tested and proven architecture, the traditional data center finds it difficult to accommodate the exceptional growth in data volume. According to Gartner’s predictions, 75% of enterprise data will be generated outside centralized data centers by 2025.
Moving and handling this vast amount of data will put incredible pressure on the internet, which often suffers disruption and congestion even with the best network technology. The edge computing principle is simple: if you cannot take the data to the data center efficiently, bring the data center closer.
This architecture helps boost application performance by negating the chances of network latency and is also cost-efficient, leveraging local computation power.
Edge computing services and hardware equipment such as edge gateway and IoT sensors help solve issues with traditional client-server architecture by utilizing or providing local storage and computation.
The edge device may also include a user’s computer, smartphone, security camera, and even internet-connected devices such as air conditioners, microwave ovens, etc.