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For t = t0 = 0, all sample values x[i] default to 0 Unfiltered, uniformly distributed noise a * ran() is obtained from the pseudorandom-noise generator ran(); the positive parameter a represents the noise amplitude Since the integrator input noise is constant over each sampling interval, it makes sense to select the simple Euler integration (irule 2) with DT = TMAX/NN and t0 = 0 The continuous variable x actually changes in small steps a DT ran() We set DT = TMAX/NN to make DT a little smaller than COMINT = TMAX/(NN 1) (Section 1-8) Random-walk statistics can be related to probability theory Each randomwalk increment a DT ran() is uniformly distributed between a DT and a DT, with expected value 0 and variance (a DT)2/3 Different pseudorandom-noise samples are uncorrelated By the time t, Euler integration has added t/DT = t NN/TMAX uncorrelated increments whose variances simply add, so that

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Buffers are used at the client to absorb these variations to prevent buffer under ow (which leads to playback hiccups) and buffer over ow (which leads to packet dropping). Let L C = (Y + Z ) be the number of buffers (each of Q bytes) available at the client, organized as a circular buffer. The client pre lls the rst Y buffers before starting playback to prevent buffer under ow, and reserves the last Z buffers for incoming data to prevent buffer over ow. We rst determine the lower bound for Y . Let t0 be the time (with respect to the admission scheduler s clock) when the rst block of a video session begins transmission. Let di be the clock jitter between the admission scheduler and server i. Without loss of generality, we can assume that the video title is striped with block zero at server zero. Then the time for block i to be completely received by the client, denoted by f (i), is bounded by ((i + 1)TF + t0 + f + d mod (i,N S ) ) f (i) ((i + 1)TF + t0 + f + + d mod (i,N S ) ) (12.21) where f + and f are used to model the maximum transmission time deviation due to randomness in the system, including transmission rate deviation, CPU scheduling, bus contention, etc. Since the client begins video playback after lling the rst Y buffers, the playback time for video block 0 is simply equal to f (Y 1). Setting T0 = f (Y 1) in equation (12.20) then the playback time for video block i is bounded by ( f (Y 1) + i Tavg + TE ) p(i) ( f (Y 1) + i Tavg + TL ) (12.22)

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E{x(t)} = 0 E{x(TMAX)} = 0 Var{x(t)} = (t/DT) (a DT)2/3 = Var(t)