We saw many primitive synchronizations in this chapter. We started with the bounded buffer and saw how it prevents an overloaded application from running out of memory. The client contract is realized using reentrant locks.
Next, we discussed the readers-writer locking; this is the pattern that increases read concurrency. We also looked at counting semaphores, countdown latches, barriers, and future tasks. We will be looking at the applications of these primitives in the upcoming chapters.
Resource pooling is realized using counting semaphores. For example, database connection pooling and thread pooling allow an application to pool and use resources efficiently.
Thread pools offer the same benefit for thread management. java.util.concurrent provides a flexible thread pool implementation as part of the executor framework.
We will take a detailed look at thread pooling in the next chapter.