👉 Wide computing, also known as edge computing or distributed computing, refers to the practice of processing data and executing computational tasks closer to where the data originates, rather than relying solely on centralized cloud servers. This approach leverages a network of interconnected devices, such as smartphones, IoT sensors, and local servers, to handle data processing tasks in real-time or near-real-time. By decentralizing computation, wide computing reduces latency, enhances data privacy and security, and improves overall system efficiency, making it particularly beneficial for applications requiring immediate responses, such as autonomous vehicles, smart cities, and industrial automation. This paradigm shift allows for more scalable, resilient, and responsive computing environments that can adapt to the diverse and dynamic needs of modern technology-driven industries.
