基于查询网络的覆盖组播在高增长率下快速创建覆盖的算法

Ashutosh Singh, Anurag Dwivedi, Y. N. Singh
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引用次数: 0

摘要

支持直播讲座等应用的直播流多播系统面临着一个被称为“快闪人群”的问题。在这个问题中,非常多的订阅者在非常短的持续时间内加入会话。快闪人群的结果是大多数订阅者在第一次尝试中没有得到想要的提要,从而导致等待时间过度增加。我们在基于覆盖多播[1]系统的查询网络中考虑这个问题,其中可用馈线的信息是使用分布式哈希表(dht)分布式存储的。在正常的生长速度下,只保留少数几种可用的饲料就足够了;然而,在快闪人群期间,需要维护大量的feed转发者列表。本文提出了两种不同的算法;一个是为了减轻根节点的负载,另一个是为了保证高概率地为任何新到达的节点提供提要,即使在非常高的增长率下。仿真结果验证了这些算法在保持网络高增长率方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithms for faster overlay creation under high growth rate in query network based overlaid multicasting
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.
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