What Makes Edge Computing a Critical Aspect of IoT
The time it takes for cloud computing to complete client communication was an issue that affected the popularity of devices connected to the Internet of Things (IoT). In other cases, swift communications by way of cloud computing require greater bandwidth. Yet such issues, especially when and where the use of IoT devices are concerned, have been solved through edge computing.
What Exactly is Edge Computing?
In cloud computing. all resources are being controlled by a central system of a network, which collects and processes all data before computing takes place. As a result, there is latency or an ensuing lag, which transpires before the server can perform action, which in turn affects the efficiency of an IoT device.
Edge computing came into fore to solve latency issues by making the computing actions and communications take place in real time. To do so, it became important to bring data collection and storage capabilities at the edge of a network.
Computing at the edge of a network minimizes the latency or the amount of time it takes for an IoT device to receive data that will enable it to perform a feature action. These actions are critical considering the huge amount of data that networks organize, store and process, especially in remote locations that have limited or no connectivity at all to a central network
This year, the global market for edge computing is estimated to reach $6.72 billion, with IoT devices playing important roles in getting people to interact without meed to touch surfaces and at a safe ftom each other.