基于准多项式时间和确定性源的多媒体信息多播启发式算法

H. Badis
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引用次数: 1

摘要

许多实时应用程序,如视频会议,需要在服务质量(QoS)交付约束(例如有界延迟)的约束下,将流从发送方传输到多个接收方。本文研究了交互式视听通信中有效的组播树构造问题。某些网络链路上的QoS指标(带宽、延迟等)不像无线自组织网络那样对称。因此,网络被建模为一个有向图。我们将电弧成本、电弧带宽、电弧延迟等与网络中的每个电弧相关联。问题是构造一个跨越目标节点的树,这样它的代价最小,因此从源到每个目标的路径上的QoS度量是有界的。由于计算最优约束组播树的问题是np完全的,我们提出了一种准多项式时间和确定性逼近算法。仿真实验结果表明,该启发式算法的性能接近最优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A quasipolynomial-time and deterministic source-based heuristic for multicasting multimedia information
Many real-time applications, such as video conferencing, require the transmission of flows from a sender to multiple receivers subject to Quality of Service (QoS) delivery constraints (e.g. bounded delay). This paper addresses the problem of effective multicast tree construction for interactive audiovisual communication. QoS metrics (bandwidth, delay, etc.) on links of some networks are not symmetric as in wireless ad hoc networks. So, the network is modelled as a directed graph. We associate an arc cost, an arc bandwidth, an arc delay, etc., with each arc in the network. The problem is to construct a tree spanning the destination nodes, such that it has the least cost, and so the QoS metrics on the path from source to each destination are bounded. Since the problem of computing the optimal constrained multicast tree is NP-complete, we present a quasipolynomial-time and deterministic approximation algorithm. Experimental results through simulations show that the performance of the heuristic is near optimal.
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