首页> 外文会议>Cluster Computing and the Grid, 2009. CCGRID '09 >Multicast Trees for Collaborative Applications
【24h】

Multicast Trees for Collaborative Applications

机译:协作应用的组播树

获取原文
获取外文期刊封面目录资料

摘要

Current implementations of real-time collaborative applications rely on a dedicated infrastructure to carry out all synchronizing and communication functions, and require all end nodes to communicate directly with and through the central server. In this paper, we investigate an architecture, in which the most resource intensive functionality of continuous communication among collaborators to disseminate changes is decentralized, utilizing the end users as relays. We observe that communication characteristics of real-time collaboration makes use of existing multicast mechanisms unsuitable. As collaborative editing sessions are typically long, we are able to gather and then use additional parameters of nodes (their instabilities and frequency of sending updates) and communication links (latencies and average costs). We identify several criteria to determine the quality of a multicast tree: cost, latency and instability. We analyze the complexity of these problems and propose algorithms to optimize the communication topology. We also consider the multiobjective problem in which we search for a tree that results in a good trade-off between these measures. Validation of algorithms on numerous graphs shows that it is important to consider the multiobjective problem, as optimal solutions for one performance measure can be far from optimal values of the others.
机译:实时协作应用程序的当前实现依赖于专用的基础结构来执行所有同步和通信功能,并且要求所有终端节点直接与中央服务器通信并通过中央服务器进行通信。在本文中,我们研究了一种体系结构,其中利用最终用户作为中继来分散协作者之间持续通信以传播变更的最耗费资源的功能。我们观察到实时协作的通信特性使使用现有的多播机制不合适。由于协作编辑会话通常很长,因此我们能够收集然后使用节点的其他参数(它们的不稳定性和发送更新的频率)和通信链接(延迟和平均成本)。我们确定了确定组播树质量的几个标准:成本,延迟和不稳定性。我们分析了这些问题的复杂性,并提出了优化通信拓扑的算法。我们还考虑了多目标问题,在该问题中我们搜索一棵树,这些树导致这些度量之间的良好权衡。在众多图表上对算法的验证表明,考虑多目标问题非常重要,因为一种性能度量的最佳解决方案可能与另一种性能度量的最优值相去甚远。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号