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Algorithms for faster overlay creation under high growth rate in query network based overlaid multicasting

机译:基于重叠组播的查询网络中高增长率下快速创建重叠的算法

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Live Streaming Multicast Systems supporting applications like Live Lecture Delivery, face a problem called flash crowd. In this problem, a very large number of subscribers join the session in a very short duration. The result of flash crowd is that most of the subscribers do not get the desired feed in first attempt and thus waiting time increases excessively. We consider this problem in query network based overlaid multicasting [1] systems, where the information about available feeders is stored distributively using Distributed Hash Tables (DHTs). At normal growth rate, maintaining a list of only a few available feeders is sufficient; however, during flash crowd, a list of large number of feed forwarders needs to be maintained. Two different algorithms are proposed in this paper; one to alleviate the load of root nodes and the other to guarantee with high probability the provisioning of feed to any new arriving node even at very high growth rate. Simulation results verify the effectiveness of these algorithms in sustaining high growth rate in the network.
机译:支持诸如“现场演讲交付”之类的应用程序的实时流多播系统面临一个称为“闪存人群”的问题。在此问题中,大量订户在非常短的时间内加入了会话。大量拥挤的结果是,大多数订户在第一次尝试中都没有获得所需的提要,因此等待时间过多地增加了。我们在基于查询网络的重叠多播[1]系统中考虑此问题,在该系统中,有关可用馈送器的信息使用分布式哈希表(DHT)进行分布式存储。在正常增长率下,仅列出几个可用的饲养者就足够了;但是,在紧急人群中,需要维护大量供稿转发器的列表。本文提出了两种不同的算法。一种是减轻根节点的负载,另一种是即使在非常高的增长率下,也有可能保证向任何新到达的节点提供提要。仿真结果验证了这些算法在维持网络中高增长率方面的有效性。

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