During parallel processing, not all threads in a Scheduler are utilized by reactor.core. Can you explain why?

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There could be several reasons why not all threads in a Scheduler are utilized during parallel processing:

1. Limited resources: The number of available threads in the system is limited. If there are more threads than available resources, some threads will be idle and may not be utilized by the reactor.core.

2. Task dependency: Some tasks may depend on others and cannot run in parallel. This means that even if there are unused threads, they cannot be utilized to perform those specific tasks.

3. I/O blocking: Some tasks may involve I/O operations that block the thread until the operation completes. During this time, the thread is idle and cannot be utilized by other tasks.

4. Scheduling overhead: The scheduler itself may incur some overhead in allocating threads to tasks. This could result in situations where some threads remain idle, waiting for the scheduler to assign them tasks.

Overall, there are many factors that can influence the utilization of threads in a Scheduler during parallel processing. It's important to consider these factors when designing and optimizing applications that rely on reactive programming paradigms.