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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 }:

Superimposed we also show the throughput achieved by the inverse schedule and generic feedback congestion control, respectively First, we observe that the shape of the throughput curve changes from monotonically increasing to unimodal to monotonically decreasing as the number of SAC connections is increased This is to be expected since, other things being equal,.

D-Amino acid oxidase H3 N CH R COO O2 H2 O ! R COO H2 O2 NH CO 4

S(t) =

Fig. 18.19 Average (per-connection) throughput as a function of aggressiveness threshold for multiple SAC connections. The top horizontal line shows the throughput achieved with the inverse schedule. The bottom line represents the throughput of the generic linear increase= exponential decrease feedback congestion control. Top left: Single SAC connection; top right: two SAC connections; bottom left: four SAC connections; bottom right: ten SAC connections.

(7.7)

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increasing the number of SAC connections ampli es the net aggressiveness level since there is no distributed control or cooperation among the SAC ows to maintain a constant overall aggressiveness level. Second, since we plot average per-connection throughput, we observe the per-connection throughput drop accordingly. Third, we observe that the performance of the threshold schedule eventually deteriorates below that of the generic feedback congestion control while the performance of the inverse schedule stays at a high level. Table 18.2 shows the total throughput achieved across all SAC connections for the threshold schedule as the number of SAC connections is increased. For each threshold level, we observe a unimodal change in throughput as the number of connections is increased from 1 to 10 with the peak occurring earlier the higher the threshold level. This indicates a trade-off relation whereby, at rst, the net increase in aggressiveness due to the increased number of SAC connections leads to a net increase in total SAC throughput. However, as the number of SAC connections is further increased, the ampli cation of the overall aggressiveness level asserts a negative impact on throughput eventually yielding a net decrease. A similar phenomenon is observed for the inverse schedule, which is shown in Table 18.3.

2:2

GX n 2j jC 2j n j2 dn:

The rate-time tuples are then stored together with the video data. The video server will simply schedule the transmission of the video according to this MDR transmission schedule. Its monotonicity property ensures that once a stream is admitted, there will always be suf cient system bandwidth for the whole duration of the video stream, even if there are other random traf cs such as web, le transfer, etc., in the system. This MDR scheduler has several additional desirable properties, namely modest admission complexity, minimum peak rate, and minimum client buffer requirement. These are discussed in the following sections.

This means that for all j's such that n1 2 j nA 2 j nB n2 , the wavelet coef cients of X will reproduce the power law: EdX j; k 2 9 2ja cf C a; c0 . Strictly speaking, this last relation holds for wavelets whose frequency support is nite, but it is generally valid to an excellent approximation. 1=f -type processes with a < 1 and n1 0 can be seen as the special case of LRD processes. Note that the de nition of 1=f processes naturally extends to include a < 0. Let X be such that GX n $ cf jnj a , n 3 0, a ! 0. For a ! 1, the variance does not exist (the integral of the spectrum diverges). X can, however, be seen as a generalized second-order stationary 1=f -type process, in the sense that the variance of the wavelet coef cients remains nite, EdX j; k GX n 2 jC0 2 n j dn 2 cf

This enzyme is monomeric, consisting of one polypeptide apoenzyme and one prosthetic group, a avin adenine dinucleotide (FAD) moiety (Fig. 2.1), that is noncovalently bound, with an association constant1 of 3.6 106 M 1. The active holoenzyme can be prepared, or reconstituted, by the addition of FAD to a solution containing the apoenzyme. FAD is a redox-active prosthetic group commonly found at the active site of oxidase enzymes. A related species, avin mononucleotide (FMN) is present at the active sites of many dehydrogenase enzymes. What these two prosthetic groups

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