👉 Opposition computing is an emerging paradigm in distributed systems where multiple independent processors or nodes are designed to work in opposition to each other, rather than cooperating. This approach aims to enhance fault tolerance and robustness by ensuring that if one processor fails, the system can continue functioning effectively through the opposing behavior of other processors. For instance, in a networked environment, if one node processes data incorrectly, its opposing node can detect the discrepancy and take corrective action. This method contrasts with traditional consensus algorithms, which often rely on achieving agreement among nodes, and instead leverages the inherent diversity and competition between processors to improve system reliability and resilience.
