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DFS (Depth First Search) The DFS searches a graph G using the depth rst approach It moves deeper into the graph before nishing the examination of all vertices adjacent to a vertex u Only when all vertices reachable from a vertex v adjacent to u have been examined, does DFS return to examine the remaining undiscovered vertices adjacent to u Consequently, DFS is readily expressed as a recursive algorithm, using a subroutine, here named DFS-Visit, which is recursively called for any undiscovered adjacent vertex as soon as it is found DFS-Visit searches the subgraph spanned by all reachable vertices from its parameter vertex u and their adjacent edges Algorithm 3 outlines the DFS-Visit subroutine and Algorithm 2 shows the main routine of DFS, which calls DFS-Visit for every undiscovered vertex v G Both the BFS and the DFS have a runtime complexity of O(V + E), since for each vertex (O(V)), every adjacent vertex is examined once and the total number of



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Subsequent channels are allocated with progressively less bandwidth as given by Bi = b , m +i i = 0, 1, . . . , n 1 1 (18.5)

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for the ith channel, where n 1 is the total number of Type-I channels. We can solve for n 1 so that the following two constraints are both satis ed:

.

(18.6)

Transcode on demand also solves another problem: format obsolescence You only need to worry about the master copy (typically MPEG), while the transcoding engines keep up with the latest versions and trends in the streaming technology space

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The rst constraint represents the requirement that the aggregate bandwidth must be smaller than the client access bandwidth. This allows the client to receive all Type-I channels simultaneously. The second constraint represents the requirement that we should allocate as many channels as the client access bandwidth will allow maximizing utilization of the client access bandwidth. It is worth noting that if we remove the client access bandwidth constraint C, the number of Type-I channels n 1 will simply equal to N , i.e., all channels are of Type-I. In this special case, the bandwidth partition scheme in equation (18.5) will be identical to the Poly-harmonic Broadcasting scheme [6]. Therefore, Poly-harmonic Broadcasting can be considered as a special case of Consonant Broadcasting when there is no client access bandwidth constraint. Figure 18.1 illustrates the operation of Type-I channels (channels 0 to 3). When a client enters the system to start a new media stream, it will immediately start caching data from all Type-I channels simultaneously. The client can start playback after a latency of T seconds as the rst media segment L 0 will be completely received by then. In general, let t0 be the time the client enters the system, and let ci be the playback time for media segment L i , which can be computed from ci = t0 + (m + i) U, i = 0, 1, . . . , n 1 1 (18.7)

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