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A Trees-Mesh based Application Layer Multicast Using Collaborative Sub-streams

机译:使用协作子流的基于树的基于网格的应用层组播

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Recently, the Tree-Mesh based Application Layer Multicast(TM-ALM) has emerged as a promising solution for media streaming over the Internet In TM-ALM, all peers first organize an auxiliary mesh overlay, and then some 'good' peers are identified to explicitly or implicitly construct a tree(s)-based backbone. The great advantage of TM-ALM is that it has more resilient to end-hosts dynamics than tree-based approach and offers a better tradeoff between control overhead and delay performance than mesh-pull approach. However, this hybrid design brings about new issues, such as how to distinguish 'good' nodes, seamless push-pull switching, as well as load-balance and fine-grained bandwidth control in backbone overlay, where we propose corresponding approaches to address these issues. Experimental results obtained via network simulation demonstrate that our hybrid solution boosts the multicasting quality and also effectively reduces the control overhead.
机译:最近,基于树网的应用层组播(TM-ALM)作为TM-ALM中的Internet上的媒体流的有希望的解决方案,所有对等体首先组织辅助网格覆盖,然后识别一些“良好”对等体显式或隐式构建基于树的骨干。 TM-ALM的巨大优点是它比基于树的方法更加有弹性,而不是基于树的方法,并且在控制开销和延迟性能之间提供比网格拉动方法更好的权衡。但是,这种混合设计带来了新的问题,例如如何区分“良好”节点,无缝推挽式切换,以及骨干覆盖中的负载平衡和细粒度带宽控制,在那里我们提出了解决这些方法的相应方法问题。通过网络仿真获得的实验结果表明,我们的混合液提高了多播质量,并有效地减少了控制开销。

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