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Method #6: I/O Completion Ports If you are building a highly scalable server application or using asynchronous I / O in any serious way, you will probably want to use I / O completion ports as your rendezvous mecha nism In fact, this is the only completion mechanism even exposed in NET (Although NET APls hide all of the I / O completion usage internally, this section may be interesting for managed developers who want to know "how it all works" under the hood) An I / O completion port is like a little miniature scheduler for work items The work that it schedules takes the form of 1/0 completion packets, and the OS uses logic that attempts to minimize the number of active threads processing packets so as not to oversubscribe processors with too many threads We saw briefly in 7, Thread Pools, that the Win32, new Vista, and CLR thread pools each contain a single automatically created I / O completion port per process and manage a set of threads dedicated to processing completion packets from it These features can be used for any of the kinds of asynchronous I / O we have reviewed in this chapter As a brief example, here is code that uses the I / O completion capabil ity of the native thread pool We initiate a single I / O, and use the thread pool as a way to invoke the callback

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SaveAs(path); } // Now we try to read the barcode // Instantiate BarCodeReader object BarCodeReader reader = new BarCodeReader(path, BarCodeReadType.

VOID CAL L BACK 10Cm p ( PTP_CAL L BAC K_INSTANCE I n s t a n c e , PVOID Context , PVOID Ove r l a p ped , U LONG 10Re s u l t , U LONG_PTR Numbe rOfBytesTran sferred , PTP_IO 1 0 ) II Proc e s s t h e 1/0 completion get s i n voked on t h e t h read pool

Payroll Best Practices / 61

We are interested in the number of defects in each sample and how this varies from sample to sample as the samples are taken over a period of time The control chart involved is usually called an np chart We now show how this is constructed

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II E l s ewhere f i l e to be us e d for many a s y n c h ronou s lOs : HANDLE h F i l e C reate F i l e ( " Test t xt " , G E N E R I C_READ, F I L E_SHARE_R EAD , NU L L ,

OPEN_EXISTING , F I L E_F LAG_OVE R LAPPED,

); PTP_IO p I o hFile, &loCm p , NU L L , NULL ); II Everyt h i n g e l s e rema i n s s i m i l a r

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These regulations are not difficult to meet, and the use of a central website for storage of the information also allows the employer to determine precisely which W-2 forms have been accessed However, it is likely that some employees who either have minimal access to computers or who are not computer literate will not access their W-2 forms in this manner, requiring a last-minute distribution of W2 forms to anyone who has not accessed their electronic copies Also, paper-based W-2 forms must still be issued to any employees who left the company prior to the end of the calendar year Thus, this best practice will likely result in only a partial electronic distribution of W-2 forms

Let the random variable X denote the number of parts showing plating defects The random variable X is a binomial random variable whose probability distribution in general is given by P(X = x) = n x p (1 p)(n x) , x x = 0, 1, , n

C reateThreadpoo l l o (

We've glossed over coordinating the cleanup of resources such as buffers Because completions happen on separate threads, it is often neces sary to synchronize this cleanup or to have higher level state management put in place

While the thread pool support for I/O completion ports is incredibly useful-it allows the thread pool to decide when to add or remove threads from the mix and is typically the solution of choice-some circumstances call for a customized solution Accessing I / O completion ports more directly is certainly possible, but to do so will require a deeper understanding of them (You cannot currently create and manage your own I / O completion ports in managed code; they are only available from native code)

Cost: Installation time:

The random variable X is a binomial random variable because a part either shows a defect or it does not show a defect and we assume, correctly or incorrectly, that the parts are produced independently and with constant probability of a defect p Since 50 observations were taken in each sample, n = 50 and so X takes on integer values from 0 to 50 We know that the mean value of X is np and the standard deviation is np(1 p)

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