Thread pools are used in many systems to manage multiple tasks efficiently. What is the primary benefit of using a thread pool instead of creating a new thread for each task?
Think about what happens when threads are created and destroyed frequently.
Creating and destroying threads takes time and system resources. A thread pool keeps a set of threads ready to run tasks, so it avoids this overhead and improves performance.
In a thread pool, what happens to new tasks when all threads are currently executing other tasks?
Consider how a thread pool controls the number of active threads.
Thread pools usually have a fixed number of threads. When all are busy, new tasks wait in a queue until a thread finishes its current task and becomes available.
What issue can arise if a thread pool uses an unbounded queue to hold waiting tasks?
Think about what happens if tasks keep arriving faster than they can be processed.
An unbounded queue can grow indefinitely if tasks arrive faster than threads can process them, potentially exhausting system memory and causing crashes.
Which statement correctly describes the difference between a fixed-size thread pool and a cached thread pool?
Consider how each pool manages thread creation and reuse.
Fixed-size pools maintain a constant number of threads. Cached pools create new threads when needed and reuse idle threads, allowing flexible scaling.
Consider an application using a thread pool where tasks submit other tasks to the same pool and wait for their completion. Why can this design cause deadlocks?
Think about what happens if threads are waiting for other threads that cannot start.
If all threads in the pool are busy running tasks that wait for other tasks to finish, and those subtasks cannot run because no threads are free, the system deadlocks.