Final answer:
Concurrency and parallelism are concepts in computer science that involve executing multiple tasks simultaneously. Concurrency refers to executing tasks in overlapping time periods, while parallelism involves simultaneously executing tasks using multiple resources.
Step-by-step explanation:
Concurrency and parallelism are two key concepts in computer science that involve executing multiple tasks simultaneously. Concurrency refers to the ability to execute multiple tasks in overlapping time periods, where progress can be made on one task while waiting for another to complete. Parallelism, on the other hand, involves simultaneously executing multiple tasks using multiple resources, such as multiple processors or threads.
An example in the problem domain would be a web server that needs to handle multiple client requests at the same time. Concurrency allows the web server to process each request concurrently, ensuring that no request is left waiting for a long time. Parallelism, on the other hand, would involve using multiple processors or threads to process multiple requests simultaneously, thereby increasing the overall throughput of the server.