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Multicast Routing Using Delay Intervals for Collaborative and Competitive Applications

机译:使用延迟间隔进行协作和竞争性应用的组播路由

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摘要

Collaborative and competitive applications require that participants receive messages almost simultaneously and before a specified time. These requirements have been addressed by the delay variation-bounded multicasting tree (DVBMT) problem. In this paper, we propose the interval multicast subgraph (IMS) problem to address these requirements. IMS addresses these constraints with an interval of acceptable delay values for paths as user input from a source to a destination, eliminating the need to optimize delays for a variation value. By solving IMS rather than DVBMT and other variants of DVBMT, we are able to find solutions for larger graphs more efficiently. Our proposed interval multicast algorithm (IMA) accounts for an interval of acceptable delay as user input and guarantees the weight of each path from the source to a distinct destination is within the given interval if that path exists. We provide proofs of correctness and complexity of IMA, as well as simulation experiments, to illustrate the effects of various parameters on our algorithm. Simulations show that IMS is significantly less costly than finding the minimum variation for the average and best case. By remodeling the DVBMT problem to IMS, we have created a new problem that addresses the quality of service requirements of multicasting and is able to be solved efficiently for the average case for relatively large graphs.
机译:协作和竞争性应用程序要求参与者在指定时间之前几乎同时接收消息。这些要求已通过延迟变化限制的多播树(DVBMT)问题得到解决。在本文中,我们提出了间隔多播子图(IMS)问题来解决这些要求。 IMS用可接受的路径延迟值间隔来解决这些约束,这是用户从源到目的地的输入,从而无需为变化值优化延迟。通过解决IMS而不是DVBMT和DVBMT的其他变体的问题,我们能够更有效地找到大型图的解决方案。我们提出的间隔多播算法(IMA)考虑了用户输入可接受的延迟间隔,并确保从源到不同目标的每条路径的权重都在给定间隔内(如果该路径存在)。我们提供了IMA正确性和复杂性的证明,以及仿真实验,以说明各种参数对我们算法的影响。仿真表明,与平均和最佳情况下找到最小变化相比,IMS的成本要低得多。通过将DVBMT问题重构为IMS,我们创建了一个新问题,该问题解决了多播的服务质量要求,并且能够针对较大图的平均情况有效解决。

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