👉 Coordinator computing is an architectural paradigm that enables distributed systems to achieve efficient and scalable coordination among multiple agents or processes. It involves a central coordinator, often referred to as the "coordinator," which manages and orchestrates tasks across a network of autonomous agents. This approach allows for centralized control over resource allocation, task scheduling, and communication protocols, simplifying the complexity of distributed problem-solving. By delegating coordination to a single point, coordinator computing enhances system efficiency and reduces the overhead associated with decentralized coordination mechanisms. However, it also introduces potential bottlenecks and single points of failure, which must be carefully managed to ensure robust and reliable system performance. Overall, coordinator computing provides a structured way to handle distributed tasks while maintaining flexibility and scalability.
