👉 Heel computing, also known as edge computing, is a distributed computing paradigm that brings data processing and analysis closer to the source of data generation, typically at the device level or on nearby edge servers, rather than relying solely on centralized cloud servers. This approach reduces latency, conserves bandwidth, and enhances privacy by minimizing the amount of data that needs to be transmitted over networks. It is particularly beneficial for applications requiring real-time processing, such as autonomous vehicles, smart cities, and IoT devices, where quick decision-making is crucial. By processing data locally, heel computing optimizes resource utilization and improves overall system efficiency, making it a key technology for the next generation of connected devices and services.