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Compared to existing smoothing algorithms, the MDR property introduces an additional constraint only downward rate adjustments can be used. Note that although this reduces the set of possible schedules within the feasible region, it still does not uniquely determine the transmission schedule for a given video. In fact, there are still an in nite number of possible MDR schedules within the feasible region. To select a MDR schedule, we need to consider the resultant resource requirements. The choice of the MDR schedule can affect the peak transmission rate and the client buffer requirement, both of which should be minimized. Interestingly, it turns out that we can always compute a MDR schedule that has minimum peak rate and minimum client buffer requirement, among all possible MDR schedules. We de ne a MDR transmission schedule with the set of rate-time tuples: {ri , Ti |i = 1, 2, . . . , n}, where ri and Ti are the transmission rate and commencing time for the ith segment in the transmission schedule as depicted in Figure 7.2; and n is the total number of segments in the MDR transmission schedule. For a MDR transmission schedule, the rates will be monotonic decreasing, i.e., ri > r j , for all i, j where n j > i 1. To compute the schedule, we begin from the origin as depicted in Figure 7.2, and assign the rst segment with the highest transmission rate, i.e., r1 = max A(t) A(0) t > 0 t (7.5)



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and mark the time, denoted by T1 , at which the rate is maximized. The tuple {r1 , T1 } then represents the rst segment of the MDR transmission schedule. Next, we repeat this process with T1 as the starting point to obtain {r2 , T2 }, and so on. In general, the transmission rate for the next segment can be computed from ri+1 = max A(t) A(Ti ) t > Ti t Ti (7.6)

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Given the communication eij , node nj cannot start until at least one instance of the duplicated nodes of ni has provided the communication eij In the schedule of Figure 63(c), for example, the communication ejk is received from the duplicated node j on processor P2 ; the same communication from the instance of node j on P1 does not arrive on time on P2 for the start of k at ts (k, P2 ) = 20 (tf (ejk , P1 , P2 ) = tf ( j, P1 ) + c(ejk ) = 16 + 6 = 22) Following from this altered precedence constraint condition, the de nition of the data ready time (De nition 48) must be adapted De nition 62 (Data Ready Time (DRT) Node Duplication) For a schedule Sdup with node duplication, Eq (46) of De nition 48 becomes tdr (nj , P) =

ri: transmission rate for segment i r3 Accumulated Data r2 MDR schedule S(t) Second bit-rate reduction point: T2 First bit-rate reduction point: T1

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A/B roll Technique of placing one scene on one videotape (and videotape player, or VTP) and another scene on another and then rolling (playing) both VTPs together, along with the editing videotape recorder (VTR), in order to fade, dissolve, or do a special effect using both scenes at once active matrix A type of liquid crystal that changes quickly, appropriate for liquid-crystal display (LCD) panels that also display video analog A signal that varies continuously, as opposed to a digital signal, which is made up of discrete levels Also, a device that works with analog signals Analog circuits suffer noise and distortion analog-to-digital (A/D) converter A circuit that samples an analog signal and expresses the information as digital data analog VTR A videotape recorder that records a continuously varying video signal onto the tape (as opposed to a digital signal) ANSI American National Standards Institute, an organization that, among other things, sets the standards for measuring projector brightness

until it reaches the end of the video. It can be shown (see Appendix) that the above procedure guarantees that the generated transmission schedules are monotonic decreasing. The transmission schedule is then de ned from the resultant rate-time tuples {ri , Ti }:

ni pred(nj ) Px proc(ni )

S(t) =

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