Synchronous vs Asynchronous Processing in VS .NET

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Synchronous vs Asynchronous Processing
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Computers that contain a single processor are only capable of performing a single task at a time Most laptops that are running Windows, for example, have a single processor (CPU) and are only capable of performing a single task on the computer at a time If that is the case, how does an elaborate operating system such as Windows seemingly perform many concurrent tasks as well as host multiple applications in memory simultaneously, with each application also performing tasks The answer is that the operating system manages the time that the processor allocates to performing each task very efficiently The operating system allocates an incredibly small slice of the processor s time to each application and task that is in memory The applications and tasks are then cycled through, with each performing a small amount of work The processor cycles through the applications and tasks very quickly, thus giving the illusion that multiple tasks are being performed simultaneously
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Each application that is loaded into memory is referred to as a process Each process typically attempts to perform a single task, so each process is assigned a single thread of execution (a slice of the processor s time) to use to complete the task Most code is written to perform a single task at a time and to complete the task at hand before continuing on to execute the next task This type of processing is referred to as synchronous processing In most scenarios, synchronously executing code is accomplished very quickly and will suffice Additionally, in most scenarios, most tasks being performed in code are reliant on the previous task being completed before they can be performed For example, when you query a database, the query cannot be executed until a connection to the database is open Hence, the database commands must be performed in a particular order, and synchronous processing is a perfect fit However, occasionally tasks are performed in code that are not reliant upon other tasks to be completed first When tasks that can be performed independently can be identified, performance would be increased if the task could be performed in parallel to other tasks being performed by the application This is possible by intentionally writing code that spawns another thread of execution so that the process (application) is allocated more than one slice of the processor s time If multiple tasks are performed in parallel by an application, the application is said to be multithreaded (that is, it utilizes more than a single thread to perform its work) When tasks are performed in parallel, the call in code from the initial thread that initiates a task to be performed on another thread doesn t have to wait around for the additional task to complete before continuing on If it did wait for additional threads to complete their work, the tasks would still be performed in series and there would be no benefit to utilizing multiple threads of execution When an additional task is performed in parallel on a separate thread, it is referred to as asynchronous processing Asynchronous processing is more complex than synchronous processing When a task is performed synchronously, the code that initiated the synchronous task waits on the task to complete before continuing However, when a task is performed asynchronously, the code that initiated the asynchronous task continues execution immediately and does not wait on the asynchronous task to complete So what happens when the asynchronous task completes When code initiates an asynchronous task, it also directs the asynchronous task to execute a method or function (known as a callback method) once it completes its work Asynchronous processing is a perfect fit for time-consuming tasks that can be performed independently Asynchronous processing is utilized in most of the recent web technologies For example, in AJAX (which stands for Asynchronous JavaScript and XML), an asynchronous call is made to the server behind the scenes The call is independent of the thread that is processing the web page and interacting with the user; thus, UI performance is increased and the user does not have to wait on the call to the server to complete but will see the results when they are returned
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