Edge computing processes data closer to its source, reducing the distance between data generation and processing, and minimizing latency.
By processing data at the edge, edge computing ensures faster response times, making it ideal for real-time applications like IoT, autonomous vehicles, and augmented reality.
Edge computing allows for the efficient use of resources by distributing computing power across a network of edge devices, reducing strain on centralized servers and optimizing bandwidth usage.
Processing sensitive data locally at the edge device improves security and privacy by minimizing the need to transmit critical information to centralized cloud servers.
Edge computing is well-suited for the Internet of Things (IoT), where devices generate large amounts of data. It enables local processing and filtering of data, sending only relevant information to centralized servers, improving overall efficiency.