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In a multithreaded environment, an operation is said to be atomic when its multiple steps are combined and executed as a single operation and the current executing thread will not be preempted by another thread during the execution of this atomic operation. .NET s Interlocked class provides atomic operation for variables that are accessed or updated from multiple threads: using System; using System.Threading; class InterLock { //Order Domain Model public class Order { public int OrderID; } //Order Book class OrderBook { //Static variable that keeps track of last order ID generated public static int orderId; //factory method to create new order public Order CreateOrder() { //create order Order newOrder = new Order(); //create unique order ID //increment the shared variable value in an atomic manner int newOrderId = Interlocked.Increment(ref orderId); //assign the new order ID newOrder.OrderID = newOrderId; return newOrder; } } static void Main(string[] args) { //create order book OrderBook orderBook = new OrderBook(); //create new order Order newOrder = orderBook.CreateOrder(); } } The previous code depicts a scenario of generating a unique order ID and assigning it to a newly created order. To keep a track of this order ID, a static variable of the integer data type is declared in OrderBook. This variable is accessed and updated by multiple threads, and therefore you need to implement some kind of synchronization mechanism to maintain the integrity of this value. The Interlocked class provides methods that enable the synchronization of shared variables in an atomic manner. Furthermore, the intelligence behind Interlocked is directly implemented inside processor hardware; therefore, it is faster than other synchronization primitives such as mutexes and critical sections. Interlocked also provides a Decrement method that is used to decrement values as an atomic operation.

Description languages, typically based on XML, are at the heart of most current workflow environments, whether they are simple pageflow schemes or full BPM frameworks. You ve already become very familiar with a simple pageflow description language the navigation rules found in the JSF faces-config.xml file. And in these navigation rules, you also saw the basic components of these flow description languages, just geared specifically for pageflow rather than more general process flow. Here s a sample set of JSF page navigation rules for a hypothetical user interface used for editing users in an application:

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A Skeleton Method That Uses Dynamic Parameters from a Hash def install_package(name, params = {}) path = (params[:path] || "/") receipt = (params[:receipt] || true) # do something with the package name, path, and receipt flag end The first thing to note with this listing is that we didn t simply choose to have everything passed dynamically Often, there is a logical subset of parameters without which the method makes absolutely no sense Such parameters should be given pride of place in the method signature as arguments in their own right (as we did for name in Listing 4-3) This method signature also uses the concept of a default for a parameter so that it really could be called like this: install_package("Tux Racer") which is in keeping with the optional nature of the rest of the arguments.

When building highly multithreaded applications, the question that is often debated is, what is the upper limit on the number of threads an individual application can create Well, the basic rule is to use as few threads as possible possibly that the total number of threads must not exceed the total number of processors installed in a machine but this is not how it works in the real world The purpose of this section is to highlight some important facts about multithreading that will help you devise a better strategy in outlining the design of a server-side trading application Threads are the basic unit of execution, and multiple threads are executed on a single-processor system.

This is possible because of the preemptive scheduling system implemented by Windows where multiple threads are allowed to create and execute, giving the illusion of parallel execution even though in reality at any point of time only one thread is being addressed by an individual processor A thread is scheduled to execute by the operating system scheduler for a particular amount of time called a quantum This quantum value differs from system to system and is managed by the operating system, but by default on Windows XP the thread length time is 20 milliseconds, and on Windows 2003 it is 120 milliseconds.

. . . <navigation-rule> <from-view-id>/users/addUser.jsp</from-view-id> <navigation-case> <from-action>#{userAdmin.saveUser}</from-action> <from-outcome>success</from-outcome> <to-view-id>/users/userHome.jsp</to-view-id> <redirect/> </navigation-case> <navigation-case> <from-action>#{userAdmin.editRoles}</from-action> <to-view-id>/users/editUserRoles.jsp</to-view-id> </navigation-case>

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