Edge computing is an innovative approach to data processing that seeks to bring computation closer to the data source, often at the periphery or "edge" of the network, rather than relying on centralized data centers. By processing data locally on devices like smartphones, IoT devices, or edge servers, this approach can significantly reduce latency, enhance speed, and address bandwidth constraints, leading to more efficient and real-time processing of data. This decentralization is particularly valuable in scenarios where swift decision-making is vital, such as in autonomous vehicles, industrial robotics, or real-time analytics. Additionally, edge computing can improve data privacy and security, as sensitive data can be processed and stored locally without being transmitted over the network. As the Internet of Things (IoT) continues to expand, with billions of devices constantly generating data, edge computing plays a crucial role in handling this deluge of information in a more scalable and responsive manner.