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reduced by 78%, 67% and 62% at arrival rates of 0.3/s, 0.6/s and 0.9/s respectively. The improvement is particularly signi cant at higher arrival rates. This can be explained by the observation that at higher arrival rates, the streams are more closely spaced in time and thus enable more data sharing through recursive patching. The latency is further reduced when 5-phase recursive patching is employed although the reduction is less signi cant. Compared to transition patching, 5P-RP can achieve latency reductions of 81%, 78% and 70% at arrival rates of 0.3/s, 0.6/s and 0.9/s respectively. Larger values of k will likely result in further resource reductions but the marginal improvements will decrease. The patching techniques illustrated in this section are by no means exhaustive. In addition to applying patching during start-up of a new media stream, it is also possible to further reduce the resources consumption by continuously merging existing on-going streams. Interested readers are referred to the literature [5 17] for more details.

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(1-2a)

In actual deployment of media streaming services over a large geographical area it is common to structure the network in a hierarchical manner. In particular, the operator may place the media servers in the central of ce, which links up with the customers through a high-speed WAN connection. Once reaching the customer neighborhood, the regional distribution network will deliver the media data to the individual customer. In this scenario, the media data will go through two types of networks, the long-distance WAN link and the short-distance residential network. Obviously, the bandwidth cost will be

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COMINT = TMAX/(NN 1)

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much higher for the WAN link than the residential network. This motivates the use of regional caches to reduce the amount of data transferred over the WAN link. One immediate application of caching is to integrate it with patching. Observe that in patching the patching streams are primarily used to send the initial portion of the media stream called the pre x of the media stream. Thus, if the pre x data are stored in the cache as shown in Figure 17.9, the patching streams can then be served entirely from the cache through the pre x proxy. In this way only full streams that are shared by many users will be transferred over the costly WAN link while the numerous patching streams are served by the pre x proxy. Because of the proximity of the pre x proxy to the clients, the latency in starting the patching streams can also be shortened. More generally, we can extend caching beyond just the media pre x. Pre x caching, however, is particularly effective as the pre x duration is short and common across all clients requesting the same media stream, thus reducing the cache size requirement. If the pre x is suf ciently small, it is even possible to bypass the disk altogether and simply store the pre x in physical memory, thus eliminating another potential I/O bottleneck. Interested readers are referred to the literature for many sophisticated caching strategies [18 21].

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(1-2b)

The previous techniques are all based on changing the transmission schedule or the reception schedule to merge clients onto a shared multicast data stream. In the fth technique described in the following, called piggybacking, the principle is to change the playback schedule so that multiple clients will eventually converge to the same playback point, at which they can be merged and served using a single multicast data stream [22 25]. To change the playback schedule it means the client plays back the media stream either faster or slower than normal playback speed. Note that here playback speed does not equate to data rate. For example, in video the media playback speed is typically de ned in frames per second (fps). Thus to increase playback speed the client can display the video frames in a frame rate higher than normal, which also consume media data at a higher data rate, or the media server can send a video stream with frames discarded periodically, thus achieving higher

Playback rate:

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The experiment-protocol script sets appropriate values of t0, TMAX, and NN or uses default values listed in the DESIRE manual If the DYNAMIC program segment contains differential equations (d/dt or Vectr d/dt statements), then t0 defaults to t0 = 0 unless another value is specified Starting at t = t0, the integration routine increments t by successive constant or variable DT steps until t reaches the next data-sampling communication point (Fig 1-2a) Within each integration step, numerical integration

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