We live in a world where the volume of data produced is growing exponentially, and the need for faster processing or computation is increasing.
Edge Computing is a distributed computing paradigm focused on bringing computation close to the data source, yielding faster processing and higher quality insights while reducing latency and bandwidth.
Data is of the utmost importance for modern businesses; different analytics on data provide insights and help businesses decide on their strategies, investments, expansion plans, etc. IoT devices are generating an enormous amount of data, and at the current rate, world data is expected to grow 61% to 175 zettabytes by 2025.
Despite the advancements in network technology, the traditional computing paradigm cannot guarantee the processing, transfer rate, and response times critical to many businesses. Endlessly growing rivers of real-world data and networking challenges of latency, bandwidth limitations, and unpredictable network disruptions call for a new approach – and one is shaping up in edge computing.
Edge computing aims to move or reduce computation responsibilities away from centralized servers and leverage the computing and storage power of smart devices such as user computers, mobile phones, network gateways, edge servers, and a variety of IoT devices, etc. These lie on the network's edge, minimizing long-distance communication and providing real-time processing.