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50 ms barrier is critical for provisioning uninterrupted voice communication the primary revenue-bearing SONET service SONET employs two protection schemes (Figure 92(a) and 92(b)) called UPSR (unidirectional path switched ring) and BLSR (bidirectional line switched ring) Figure 92 shows examples of UPSR and BLSR In UPSR system, a protection signal is routed in a graphical complement of the network (as opposed to the shortest path which carries the work signal), and the receiver selects from either the work signal or the protection signal In contrast, in BLSR systems, the protection signal is dually switched by both transmitter and receiver only when a failure occurs Naturally, UPSR is faster than BLSR, but it also requires more resources (wavelengths) to function Figure 93(a) and 93(b) show the SONET and SDH frame formats Note that a large portion of the SONET and SDH payload consists of overhead information This is crucial for signaling and mapping the lower rate ows (called tributaries) into the high-speed synchronous network Further, SONET and SDH systems are inherently synchronous, meaning that the clock at each node is in phase with every other node This creates simplicity in data extraction and frame delineation However, synchronization comes at a price in the equipment SONET and SDH elements are called ADMs, or add drop multiplexers An ADM can drop a particular tributary from a SONET frame, or add a slower rate tributary to the frame The ADM functions by complete optoelectronic conversion of the signal and further demultiplexing of the complete signal to extract each tributary The complete reliance on optoelectronic circuitry means that the ADM cost is high However, this is necessary in order to enable nodes to get access to the lower rate tributary signals embedded in the SONET frame hierarchy SONET circuits are called optical circuits, or OC-N, where N is a multiple of the basic STS-1 line rate of 5184 Mbps SDH, on the other hand, uses the.

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It may seem obvious, but everything behind your subject will end up in the background of your image An effective background is one that stays where it belongs behind the subject A good background is either neutral or complements, enhances, or adds information about the foreground subject A poor background overwhelms your subject by pushing forward into the shot and drawing attention away from the main part of the image Background objects such as telephone poles, street signs, billboards, and trees seem to grow out of your subject s head if he or she stands directly between them and the camera You can solve most background problems by moving the subject or the camera, or changing the angle of view Always check the distracting background details You can t get rid of them after the shot has been recorded (see the later section on color for more insight into this critical issue)

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Figure 93 (a) SONET payload for STS-1; (b) SDH payload for STM-1

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This approach makes some assumptions and isn't universally appealing We're assuming that it's OK to run 54 at any arbitrary point in the future, including after the calls to f and g have returned It also is not semantically equivalent to the sequential program We're also blocking a thread pool thread If the timeout may have happened because of a deadlock, we may completely tie up the thread pool What we really want is a way to cancel the work after 500 milliseconds, and to go back to waiting on it (hoping that

Every TV image, regardless of picture tube size, always has a fixed 3 4 rectangular shape And if high-definition TV (HDTV) becomes widespread, high-definition video images will have a fixed 9 116 aspect ratio Unlike still photographers, who can turn their camera sideways for vertical compositions, you are stuck using TV s horizontal 3 4 rectangle for every shot However, you can create different frame shapes by proper placement of objects in your shot Blocking out parts of your shot with doorways, windows, posts, buildings, fences, a person s shoulder, and so on changes the video 3 4 rectangle into a square, diamond, triangle, diagonal, circle, or other geometric shape Frame-within-a-frame composition strengthens the illusion of depth and gives your images more visual impact

cancellation is responsive) We will explore cancellation a bit more in 1 3, Data and Task Parallelism To take this example further, say we wanted to run two APM-capable oper ations, Foo and B a r concurrently, and wanted to handle them in whatever order they complete This is another example where the Asyn cWa itH a n d l e offers an advantage because we can wait for either (or both) to complete with WaitHa n d l e ' 5 Wa itAny and Wa itAl l methods If this were the simple syn chronous version of the code we wanted to modify to be asynchronous:

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IAsyn c R e s u lt fooAs y n c R e s u lt IAsyn c R e s u l t ba rAsy n c R e s u lt WaitHandle [ ] handles { fooAsy n c R e s u l t AsyncWa itHa n d l e , b a rAsyn c Re s u l t AsyncWa itHandle }; int awoken if ( awok e n

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