An Experiential Study of Multipath TCP Schedulers With the Comparison of Throughput, Latency, and Path Utilization: Multipath TCP Schedulers

N. Thakur, Ashwini S. Kunte
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Abstract

Advanced internet technology and data-hungry applications encourage us to use Multipath TCP (MPTCP). MPTCP can use many homogenous or heterogeneous interfaces like LTE, Wi-Fi, Ethernet, etc. simultaneously. This inherently introduces out of order packets(OFO) scenario at the receiver side. If packets are not collected in sequence at the receiver then after a timeout, retransmission and spurious retransmission may occur thus increasing overhead and decreasing the quality of user experience. To optimize this, an efficient MPTCP scheduling algorithm becomes essential. This article studies and compares a few MPTCP schedulers theoretically and practically using key performance metrics. Comparative study of data points suggests that known schedulers of MPTCP do perform well in uniform network environments, but are inflexible to adapt to dynamic environments with the constant flux in network states of wired/wireless and homogeneous/heterogeneous setup. This calls for a flexible algorithm that can learn the network state and adapt to it for optimized network performance.
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基于吞吐量、延迟和路径利用率比较的多路径TCP调度程序的经验研究:多路径TCP调度程序
先进的互联网技术和数据饥渴的应用程序鼓励我们使用多路径TCP (MPTCP)。MPTCP可以同时使用许多同质或异构接口,如LTE、Wi-Fi、以太网等。这必然会在接收端引入乱序数据包(OFO)场景。如果在接收端没有按顺序收集数据包,那么在超时后,可能会出现重传和虚假重传,从而增加开销并降低用户体验质量。为了优化这一点,一个有效的MPTCP调度算法变得至关重要。本文使用关键性能指标从理论上和实践上对几个MPTCP调度器进行了研究和比较。数据点的对比研究表明,已知的MPTCP调度器在统一网络环境下性能良好,但在有线/无线、同构/异构网络状态不断变化的动态环境下,调度器的灵活性较差。这需要一种灵活的算法,可以学习网络状态并适应它以优化网络性能。
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