大数据点对多点数据传输的性能问题分析

2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE) Pub Date : 2014-10-01 DOI:10.1109/APEIE.2014.7040934

A. Bakharev, Eduard Siemens, V. Shuvalov

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引用次数: 4

摘要

本文描述了当前开源可靠组播解决方案的现状，并揭示了它们在内容分发网络(CDN)中用于海量数据传输方面的不足。在安哈尔特应用科学大学安哈尔特未来互联网实验室的10千兆广域网实验室中，对三种最流行的开源解决方案——基于udp的文件传输协议、面向nack的可靠组播和基于多千兆ip的网络中的实用通用组播进行了性能分析。该评估是在广域网重量级内容分发的真实场景下进行的。本文提出的绩效评估揭示了现有方法的瓶颈和不足。在此基础上，提出了改进和进一步发展可靠组播数据传输协议族的新思路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of performance issues in point-to-multipoint data transport for big data

This paper describes the state of contemporary open-source reliable multicast solutions and reveals deficiencies regarding their use for massive data transport in Content Delivery Networks (CDN). A performance analysis of the three most popular open-source solutions - UDP-based File Transport Protocol, NACK-oriented Reliable Multicast and Pragmatic General Multicast in multi-gigabit IP-based networks has been performed in the 10Gigabit-WAN laboratory of the Future Internet Lab Anhalt of Anhalt University of Applied Sciences. This evaluation has been performed under the real-world scenario of heavyweight content distribution in Wide Area Networks. Performance evaluation presented in this paper reveals bottlenecks and deficiencies in current approaches. On this basis we propose new ideas for improvements and further development of the reliable multicast data delivery protocols family.

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2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)

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