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In addition to sharing data from a full-length on-going multicast stream, it is possible to share data from another patching stream as well transition patching [11] Figure 176 illustrates the transition patching technique There are three clients, denoted by ra , rb and rc , that arrive at the system at time instants ta , tb , and tc respectively requesting the same video We assume that the length of the media object is L seconds, encoded at a constant bit-rate of R bps To facilitate discussion, we divide the media object into 7 logical segments (D1 to D7 ) and denote the group of segments from the r th segment to the sth segment by [Dr , Ds ].



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Thus, it is easy to spot that instance T(3) is ow dependent on S(2): the output variable of task S(2), A(2), is the input of T(3) The same can be observed for the relation between T(4) and S(3), and between T(5) and S(4), caused by other elements of array A The dependence distance, that is, the number of iterations between the two task instances forming a dependence relation, is 1 In general, it can be stated that the instance T(i + 1) is dependent on the instance S(i) Such a dependence is called uniform since its distance is constant Analogous to the intraiteration dependence, this type is referred to as interiteration dependence For ow dependence relations, intraand interiteration dependences correspond to intra- and interiteration communications, respectively Note that a task can even depend on itself, under the condition that the dependence distance is greater than 0 Another logical step is to consider intraiteration dependence as a special case of interiteration dependence, namely, with distance 0 In fact, dependence analysis for loops, for example, as presented by Banerjee et al [17], does not distinguish between intra- and interiteration dependence However, it will prove useful for the treatment of graph representations in 3 In Example 6 one observes further dependence relations The instance S(3) is ow dependent on T(2), caused by the array element B(5), and S(5) is ow dependent on T(3), caused by B(7) These are two examples of the dependence pattern caused by the output variable B(i 2 + 1) of T and the input variable B(i + 2) of S Other dependence pairs of this pattern are: S(7) depends on T(4), S(9) depends on T(5), , S(99) depends on T(50) Since the distance of these dependence relations is not constant the minimum distance is 1 and the maximum is 49 it is said to be nonuniform.

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Assuming the system is idle when client ra arrives, then the system will assign a regular stream (R-stream), denoted by Sa , to stream the whole media object from the beginning to the end (ie, [D1 , D7 ]) to client ra The cost of serving client ra is thus equal to the bandwidthduration product LR For client rb arriving at time tb , it clearly cannot begin playback by receiving data from stream Sa as it has missed the rst (tb ta ) seconds of the media object, ie, [D1 , D3 ] Instead of starting another R-stream for client rb , the system then assigns a patching stream (P-stream) Sb to transmit only the rst (tb ta ) seconds (ie, [D1 , D3 ]) of missed media data to enable client rb to begin playback This is the patching technique described previously.

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Now consider client rc arriving at time tc We note that for client rc , it has already missed media segments [D1 , D4 ] multicast from the R-stream Sa To patch these missed media segments, we can apply transition patching as shown in Figure 176 We divide the process into three phases In Phase 1, a P-stream Sc is allocated to stream the initial media segment D1 to client rc to begin playback At the same time, the client caches media segment D2 being multicast by the P-stream Sb In Phase 2, the P-stream Sc is released and the client begins.

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Figure 2.6 Intra-coded I frames are inserted into the compressed video stream to limit error propagation as well as to support random access

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