What does distributed computing primarily deal with?

Distributed computing primarily deals with managing algorithms across multiple machines. This approach involves dividing a computational task into smaller parts that can be executed simultaneously on different systems within a network. The primary goal is to improve efficiency and performance by utilizing the resources of multiple machines, which can lead to faster processing times and the ability to handle larger datasets.

In distributed computing, the management of resources, coordination of processes, and communication among machines are crucial components. This allows for tasks to be processed in parallel, thereby maximizing the use of available computing power and improving reliability and scalability. By leveraging multiple machines, distributed computing can effectively address complex problems that would be difficult or impractical to solve on a single machine.

The other choices reflect aspects of computing but do not encapsulate the essence of distributed computing. Running algorithms on a single machine is more about traditional computing methods. Data storage solutions are important but do not specifically define distributed computing, which is more focused on processing capabilities. User interface design pertains to how users interact with software applications and does not relate to the computational distribution of tasks.