How do different execution types affect latency in computing?

How do different execution types affect latency in computing?

Different execution types, like synchronous and asynchronous, can significantly impact latency. Synchronous execution waits for a task to complete before moving on, which can increase latency. In contrast, asynchronous execution allows other tasks to run while waiting, reducing overall latency.

Can you give me examples of synchronous and asynchronous execution?

Sure! An example of synchronous execution is a function that reads a file and processes it before moving to the next line of code. An example of asynchronous execution is a web server that handles multiple requests simultaneously without waiting for each one to finish.

What factors influence the choice between these execution types?

Factors include the nature of the tasks, the need for real-time processing, resource availability, and the overall architecture of the system. For instance, if tasks are independent, asynchronous execution might be preferred to enhance performance.

How can I measure the latency in my application?

You can measure latency using tools like performance profilers, logging timestamps before and after tasks, or using built-in metrics in your programming environment to track execution time.