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Optimal load balancing scheduler for MPTCP-based bandwidth aggregation in heterogeneous wireless environments

机译:异构无线环境中基于MPTCP的带宽聚合的最佳负载平衡调度程序

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In this paper, we investigate a scheduler for a multipath transmission control protocol (MPTCP) for bandwidth aggregation in heterogeneous wireless environments. The performance of the MPTCP can be degraded due to the head-of-line (HOL) blocking caused by path heterogeneity, when a buffer size is limited. This performance degradation can be overcome by a careful design of a scheduler, which has a role of allocating each data segment to one of subflows. We derive the theoretical limit of the achievable aggregate throughput and show that the optimality is achieved when the load is balanced between sub flows. Based on the analysis, we propose the optimal load balancing (OLB) scheduler that approximately achieves the theoretical throughput limit. By simulations and experiments, we show that the proposed OLB scheduler outperforms the default scheduler of the Linux MPTCP implementation. (C) 2017 Elsevier B.V. All rights reserved.
机译:在本文中,我们研究了用于异构无线环境中带宽聚合的多路径传输控制协议(MPTCP)的调度程序。当缓冲区大小受到限制时,由于路径异质性导致的行头(HOL)阻塞,MPTCP的性能可能会降低。可以通过精心设计调度程序来克服这种性能下降的问题,调度程序的作用是将每个数据段分配给一个子流。我们推导了可达到的总吞吐量的理论极限,并表明当子流之间的负载达到平衡时,可实现最优。在分析的基础上,我们提出了最佳的负载平衡(OLB)调度程序,该调度程序可以大致实现理论上的吞吐量限制。通过仿真和实验,我们证明了所提出的OLB调度程序优于Linux MPTCP实现的默认调度程序。 (C)2017 Elsevier B.V.保留所有权利。

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