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In the following, we evaluate the performance of the proposed optimization scheme when applied to multicasting a video sequence with L=3 layers to heterogeneous clients.
The privacy of the stream should be maintained as it contains audio and visual data, which are transmitted to heterogeneous clients.
In addition, we provide an underlying QoS-provisioning mechanism to support not only heterogeneous clients, but also dynamic configuration change of them.
Tseng, 1998 [4]), abbreviated the FBR scheme, is also suitable for heterogeneous clients of different communication capabilities although it is originally designed for homogeneous clients of the same bandwidth.
On the other hand, recently defined video coding schemes, like H.264 scalable video coding (H.264/SVC), are evolving in order to better adapt to such mobile environments with heterogeneous clients and time-varying available capacity.
A reconfigurable cipher chip for accelerating DES is described, 3DES and AES computations that demand high performance and flexibility to accommodate large numbers of secure connections with heterogeneous clients.
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Peer clients collaborate together to deliver streams to heterogeneous client(s) with QoS guarantees.
More concretely, we discuss how a possibly large set of heterogeneous client-side devices can be observed as a coherent cluster.
Section 3 presents our approach for server-side clustering, while Sect. 4 shows how the support for dynamic and heterogeneous client-side clusters was incorporated into the Siebog.
Our results indicate that even for the case of heterogeneous client populations it is possible to achieve download times that are almost independent of the number of clients and very close to optimal.
In this paper, we have, therefore, presented how Siebog was updated to support dynamic clusters of heterogeneous client-side devices, as well as to support server-side agents in a clustered environment.
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