👉 Transferred computing, also known as remote or distributed computing, is a method where computational tasks are offloaded from local devices to remote servers or cloud-based resources. This approach leverages the processing power, storage, and memory capabilities of these remote servers to handle complex or resource-intensive tasks more efficiently. By transferring the workload, it enables devices to perform their primary functions without being bogged down by heavy computations, thereby enhancing performance and user experience. Additionally, it allows for scalable resource allocation, as computing resources can be dynamically adjusted based on demand, and it facilitates cost savings by reducing the need for expensive local hardware upgrades.
