👉 Cruz computing is an innovative approach to distributed computing that leverages the unique capabilities of edge devices, such as smartphones, IoT sensors, and local servers, to process data closer to where it is generated. This paradigm aims to reduce latency, enhance privacy, and improve efficiency by minimizing the need to send large volumes of data to centralized cloud servers. By performing computations at the edge, Cruz computing optimizes resource usage, conserves bandwidth, and enables real-time processing, making it particularly valuable for applications requiring immediate responses, such as autonomous vehicles, smart cities, and augmented reality. This decentralized model not only enhances performance but also supports more sustainable and resilient computing architectures by distributing the computational load across numerous edge nodes.
