Let us take a look at the benefits of edge computing in detail:
When manufacturers look to expand their process of data collection and analysis, there is no longer a need to establish dedicated data centers if edge computing has been implemented. Through edge computing, data collection, storage and analytics capabilities are being increasingly bundled into applications/devices with smaller footprints. These can also be situated closer to end users. Hence, companies can utilize this facility to expand their reach and scale their computing needs in a more efficient manner.
An edge computing network reduces latency and hence, has the ability to improve network performance. In IoT-enabled edge computing devices, the data is processed locally (in data centers at close proximity). This implies that the collected information need not travel as much as it does in a conventional cloud network. The end result is that users get to enjoy higher speeds and latency is reduced to microseconds. Since speed is a definitive best practice that gives companies a competitive edge today, the prospect of using edge computing guarantees endless growth possibilities for organisations.
Edge computing offers significant security advantages to an organisation. A traditional cloud computing network architecture is centralized and is particularly vulnerable to power outages and distributed denial of service (DDoS) attacks. However, edge computing distributes the data storage and processing across multiple devices and data centers. This makes it difficult for a single interruption to bring down the entire network. In case there is a cyber-attack on an edge network, the distributed nature of the architecture makes it easier to establish security protocols that isolate compromised parts of the network.