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1. For multithreaded programming for Java, I recommend reading Doug Lea s Concurrent Programming in Java (Addison-Wesley Professional, 1999). For .NET, the book .NET Multithreading by Alan Dennis (Manning Publications, 2002) is available.
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CHAPTER 10 INFINITE DATA PATTERN
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There are three public methods: AddResult, used to add a result to the results queue (_results); GetResult, used to return a single result; and GetResultWait, used to return a single result where the method will wait for a result. In detail, GetResultWait checks whether any results are available; if not, the method puts itself to sleep and waits until there are results available. The data member _results is not illustrated, but is defined as a collection. For each of the public methods, the first action is to call the method Monitor.Enter, which acquires a lock based on the object instance _results. At the end of each of the public methods, the method Monitor.Exit is called to release the lock based on the object instance _results. The code between the Monitor.Enter and Monitor.Exit method calls is synchronized code in which only one thread may perform actions. Synchronization and how to use it is easy to follow for all methods. What is more complicated is the signaling of the waiting thread. When the method GetResultWait executes a Monitor.Wait, the method has control of the lock. No other method may add or remove results from the collection. If the method GetResultWait realizes that there are no results in the collection, the method Monitor.Wait is called, putting the thread executing GetResultWait to sleep. In the method implementation Monitor.Wait, there is a time-out, which means that the sleep of the thread will not be infinite. A time-out causes an automatic reawakening of the thread even if no signal has been sent. When the thread reawakens, it needs to check whether the reawakening was due to a signal or time-out, and in the case of the method implementation, the collection is tested for available elements. A signal to reawaken a sleeping thread is executed by calling the method Monitor.Pulse, but from a thread that is not sleeping. In the example, it is the method AddResult. What is not obvious from the code is what happens to the lock when a thread is put to EBVN sleep and then awakened. If a thread goes to sleep while keeping a lock, no other threads could execute because the other threads would be waiting for the thread to awaken. The solution of a monitor is to give up the lock when a thread goes to sleep. When a pulse is sent, the reawakened thread does not execute immediately. The reawakened thread puts in a request for the lock before continuing execution. Thus, when a signal is pulsed, the reawakened thread will execute only after the lock has been acquired. Using monitors as a synchronization mechanism is imperative because you want to implement the requirements of the Persistent Communications pattern without having to waste resources. While a monitor is waiting for a result, it is using the least amount of resources possible. You may be wondering whether monitors could also have been used to implement the background thread. And the answer is yes. Though, ideally, for the background thread, a thread pool would be a better solution. A thread pool makes it simpler to implement a producerconsumer architecture.
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Implementing the Task
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The last piece of code that needs to be explained is the task itself. In the example, that means explaining the class Calculator, which is illustrated as follows. Some parts of the class have been deleted for clarity: public class Calculator : TaskManager.ITask { private long _transactionIdentifier; private long _number; public long TransactionIdentifier {
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