👉 Fellow computing, also known as collaborative computing or distributed computing, refers to the practice of using multiple computers or interconnected devices to solve complex problems, share resources, and enhance computational efficiency. This approach allows tasks to be divided among various machines, each handling a portion of the workload, which can significantly speed up processing times and enable the handling of larger datasets than a single machine could manage alone. It also promotes resource sharing, where idle computing power can be utilized for other tasks, improving overall system utilization and potentially reducing costs. Additionally, fellow computing facilitates the development of more sophisticated applications by enabling access to diverse computational resources and expertise across different locations, fostering innovation and collaboration in fields ranging from scientific research to big data analytics.
