👉 Pub computing is a distributed computing model where multiple computers, often running on different platforms and connected through a network, collaborate to solve complex problems or perform tasks that would be challenging or inefficient for a single machine. This approach leverages the collective processing power, storage, and resources of a network of pubs—small, often commodity computers—that can be dynamically allocated and reconfigured as needed. Pubs typically communicate via a common protocol, such as TCP/IP, and can be managed by a central orchestrator or operate autonomously. Applications running on pubs can range from simple data processing tasks to complex simulations, machine learning models, and even distributed databases. The flexibility and scalability of pub computing make it particularly useful for handling large-scale, heterogeneous workloads in areas like scientific research, data analytics, and cloud services.
