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arXiv cs/0701130cs.NIcs.ARcs.PF
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互联网边缘的地理和网络邻近性相关性及其对移动单播和组播路由的影响

On the Correlation of Geographic and Network Proximity at Internet Edges and its Implications for Mobile Unicast and Multicast Routing

Thomas C. Schmidt, Matthias Wählisch, Ying Zhang

摘要:

最近已经投入了大量的努力来加速下一代移动互联网中的切换操作。因此,开发高效的移动组播管理系统是当务之急。这两个问题同时暴露了作为接入网络中切换性能的特征参数的后续附接点之间的路由复杂性。由于连续的移动性路由器之间必然会发生位于地理附近的接入路由器,本文调查的假设,地理相邻的边缘网络达到减少网络距离相比,任意的互联网节点。因此,我们评估和分析边缘距离分布在各个地区的集群IP范围在他们的地理位置,如城市。我们使用traceroute来收集每个中间结点的封包转送路径和往返时间,以扫描方式推导出节点距离的上界。不同的扫描起点的结果进行比较,以获得每对网络距离的最佳估计。我们的研究结果进行了比较,相应的分析CAIDA突击者的数据,总体上导致相当稳定,可重复的边缘距离分布。作为第一个结论预期的影响切换性能的措施,我们的研究结果表明,在802.11网络的切换预期时间为25毫秒的一般最佳。

英文摘要:

Significant effort has been invested recently to accelerate handover operations in a next generation mobile Internet. Corresponding works for developing efficient mobile multicast management are emergent. Both problems simultaneously expose routing complexity between subsequent points of attachment as a characteristic parameter for handover performance in access networks. As continuous mobility handovers necessarily occur between access routers located in geographic vicinity, this paper investigates on the hypothesis that geographically adjacent edge networks attain a reduced network distances as compared to arbitrary Internet nodes. We therefore evaluate and analyze edge distance distributions in various regions for clustered IP ranges on their geographic location such as a city. We use traceroute to collect packet forwarding path and round-trip-time of each intermediate node to scan-wise derive an upper bound of the node distances. Results of different scanning origins are compared to obtain the best estimation of network distance of each pair. Our results are compared with corresponding analysis of CAIDA Skitter data, overall leading to fairly stable, reproducible edge distance distributions. As a first conclusion on expected impact on handover performance measures, our results indicate a general optimum for handover anticipation time in 802.11 networks of 25 ms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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