👉 Orbit computing is a novel approach to distributed computing that leverages the geometry of 3D space, specifically the orbits of objects around a central point, to perform computations. This method abstracts complex data processing tasks into geometric transformations and spatial relationships, enabling efficient and scalable computation across multiple devices. In orbit computing, data is represented as points in a 3D space, and operations such as filtering, aggregation, and classification are performed by manipulating these points and their orbits. This approach is particularly advantageous in scenarios involving sensor networks, IoT devices, and edge computing, where minimizing communication overhead and maximizing computational efficiency are crucial. By utilizing the inherent structure of spatial data, orbit computing facilitates parallel and distributed processing, making it a promising technique for handling large-scale, real-time data processing tasks in various applications.
