👉 Participated computing, also known as distributed or collaborative computing, refers to a model where multiple computers or devices work together to solve a problem or perform a task. Instead of relying on a single powerful machine, participants share their computational resources—such as processing power, memory, or storage—by connecting through networks. This collaboration can significantly enhance performance and efficiency, as tasks are divided among the available resources. For example, in solving large-scale scientific computations or processing big data, participated computing allows researchers and organizations to leverage the collective power of many computers, making it possible to tackle problems that would be too complex or resource-intensive for any single machine. This approach not only optimizes resource use but also promotes cost-effectiveness and scalability in computing tasks.
