Improvement and Implementation of a Multi-Path Management Algorithm based on MPTCP

Min Chen, T. Dreibholz, Xing Zhou, Xuelei Yang
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引用次数: 6

Abstract

The core idea of the Multi-Path Transmission Control Protocol (MPTCP) is to utilize multiple network connections by distributing payload data transmission among several sub-flows. Then, multiple paths in the underlying networks can be used to maximize the overall connection throughput. However, the concurrent transmission on only a subset of all possible sub-flows’ aggregation can improve network performance, because of performance differences between the subflow. In this paper, we propose a new FullMesh algorithm based on Path Characteristic and Data Characteristic (PCDC), in which a Subflow Impact Factor (IF) is used as a subflow characteristic to predict the impact of a subflow on the overall throughput. Then, different path sets are adopted for different sizes of traffic. The PCDC algorithm is evaluated in the NORNET CORE testbed, comparing it to the FullMesh algorithm. Our research results show that the PCDC algorithm can improve the network throughput and reduce the overall completion time of small data streams. 1 2 3
基于MPTCP的多路径管理算法的改进与实现
多路径传输控制协议(MPTCP)的核心思想是通过在多个子流中分配有效载荷数据传输来利用多个网络连接。然后,可以使用底层网络中的多条路径来最大化总体连接吞吐量。然而,由于子流之间的性能差异,仅在所有可能子流聚合的子集上并发传输可以提高网络性能。在本文中,我们提出了一种新的基于路径特征和数据特征(PCDC)的FullMesh算法,其中使用子流影响因子(IF)作为子流特征来预测子流对整体吞吐量的影响。然后,针对不同的流量大小,采用不同的路径集。在NORNET CORE测试平台上对PCDC算法进行了评估,并与FullMesh算法进行了比较。研究结果表明,PCDC算法可以提高网络吞吐量,减少小数据流的整体完成时间。1 2 3
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