论文标题
多径隧道的自适应流量感知数据包调度算法
An Adaptive Flow-Aware Packet Scheduling Algorithm for Multipath Tunnelling
论文作者
论文摘要
本文提出了AFMT，AFMT是一种数据包调度算法，以实现自适应流动的多径隧道。 AFMT有两个独特的属性。首先，它为字节款实现了强大的自适应流量分裂。其次，它在凝聚力上检测和时间表爆发数据包，该方案已经启用了流量分裂以实现负载平衡，几乎没有重新排序。 不同网络拓扑的几个NS-3实验表明，AFMT成功地处理了由于背景流量而导致的路径特征，同时增加了吞吐量和可靠性。
This paper proposes AFMT, a packet scheduling algorithm to achieve adaptive flow-aware multipath tunnelling. AFMT has two unique properties. Firstly, it implements robust adaptive traffic splitting for the subtunnels. Secondly, it detects and schedules bursts of packets cohesively, a scheme that already enabled traffic splitting for load balancing with little to no packet reordering. Several NS-3 experiments over different network topologies show that AFMT successfully deals with changing path characteristics due to background traffic while increasing throughput and reliability.
