👉 Cab computing is an innovative approach to distributed computing that leverages the collective power of multiple computers, often in a peer-to-peer network, to perform complex tasks efficiently. Instead of relying on a centralized server or a traditional cluster setup, cab computing distributes computational workloads across numerous devices, each contributing its processing capacity. This method enhances scalability and fault tolerance, as the system can dynamically adjust to varying loads by adding or removing nodes. Cab computing is particularly beneficial for tasks requiring significant computational resources, such as machine learning, data analysis, and simulations, as it optimizes resource utilization and reduces latency by processing data closer to its source. This decentralized model also enhances privacy, as sensitive data can be processed locally on individual devices before being aggregated, minimizing the risk of data breaches.
