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correctly in a multithreaded environment Such a program usually requires significant redesign and rework to make it handle multiple threads effectively In the following sections we explain the effects of using multiple threads on the various portions of server applications 2141 ORB Infrastructure Multithreading Issues Multithreaded ORB implementations have available a wide variety of options for handling requests As we discuss in Section 213, single-threaded ORBs must perform non-blocking I/O, request queuing, and explicit task switching, thus limiting their flexibility and configurability Multithreaded ORBs, on the other hand, can support different strategies [38] for request dispatching, even simultaneously The use of multiple threads allows the ORB to separate concerns For example, one implementation of a multithreaded ORB core might have a single thread, called a listener thread, that listens for requests When a request arrives, the thread reads the entire network message containing the request and all its arguments and places it in a request queue The other end of the queue might be monitored by a pool of threads that wait for requests to appear in the queue When a request is put into the queue by the listener thread, a thread from the pool removes it from the queue and takes charge of dispatching it to the right POA and eventually to the right servant Another ORB core implementation might choose instead to use multiple listener threads, with each thread listening to a single network port Still another might choose to create a new thread to handle each incoming request Other variations are also possible, such as mixing support for multiple strategies into a single ORB core As you might imagine, each solution for applying threads to the processing of requests has its own benefits and drawbacks A thread-per-request solution, in which a new thread is spawned for each incoming request, works well for servers that receive a low volume of long-running requests Because each request executes in its own thread, it will not block other requests from being processed no matter how long it takes to complete However, if too many requests are in progress simultaneously, the server application might use excessive resources because of the presence of too many threads A thread-per-connection approach, in which a different thread is used for each separate client connection, works well for applications in which clients invoke numerous requests on the same server over a lengthy period This technique avoids the cost of creating a new thread for each request as in the thread-per-request approach However, if the server has a lot of clients, it could result in many threads being created to handle them Also, if client connections are short-lived, this solution approaches the thread-creation overhead of the thread-per-request model.

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