👉 Cage computing is an innovative approach to distributed computing that leverages the collective processing power of a group of heterogeneous devices, often referred to as "cages," which can include smartphones, IoT devices, and other edge computing nodes. These cages operate autonomously or semi-autonomously, collaborating to solve complex computational tasks by sharing resources such as memory, processing capabilities, and data storage. The system is designed to be resilient, scalable, and energy-efficient, allowing it to handle large-scale computations in real-time while maintaining privacy and reducing latency. By distributing the workload across multiple devices, cage computing can achieve higher performance and reliability than centralized cloud computing models, making it particularly suitable for applications requiring immediate processing and decision-making, such as autonomous vehicles, smart cities, and real-time analytics.
