DPSAF: Forward Prediction Based Dynamic Packet Scheduling and Adjusting With Feedback for Multipath TCP in Lossy Heterogeneous Networks

DPSAF: Forward Prediction Based Dynamic Packet Scheduling and Adjusting With Feedback for Multipath TCP in Lossy Heterogeneous Networks
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DPSAF:有损异构网络中基于前向预测的动态数据包调度和多路径 TCP 反馈调整

DOI:
10.1109/tvt.2017.2753398
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发表时间:
2017-09
影响因子:
6.8
通讯作者:
Hong Peilin
Hong Peilin
中科院分区:
计算机科学2区
文献类型:
--
作者:
Xue Kaiping;Han Jiangping;Ni Dan;Wei Wenjia;Cai Ying;Xu Qing;Hong Peilin

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由于多宿主终端配备有多个接口并允许访问异构网络,因此通过所有可用路径同时传输数据变得可能,并且也带来许多益处。已经提出了多路径TCP(MPTCP)以在不同的TCP连接上分发应用流。然而,由于不同路径的不同延迟,在接收端通常会出现存在乱序数据包的问题。大量的数据包耗尽了有限的接收缓冲区,使接收窗口延迟,大大降低了吞吐量。因此,一个有效的调度机制将发挥重要作用,以保持有序交付。然而,以往的智能调度机制几乎都忽略了丢包的影响,没有考虑拥塞控制算法的窗口变化,也没有利用反馈信息,在有损耗的异构网络中不能很好地发挥作用。本文提出了一种新的调度算法:基于前向预测的动态分组调度和反馈调整算法(DPSAF)。DPSAF首先利用TCP建模中的最大似然估计来估计其他路径上同时发送的数据量,其中考虑了分组丢失率和时间偏移,然后从SACK选项中获取反馈信息并固定调度值。从仿真可以看出,我们的机制明显提高了有损耗异构网络中接收端的吞吐量并减少了缓存占用。
As multihomed terminals are equipped with multiple interfaces and allowed to access heterogeneous networks, transferring data simultaneously through all the available paths becomes possible and also brings many benefits. Multipath TCP (MPTCP) has been proposed to distribute an application stream over different TCP connections. However, due to the disparate latencies of different paths, the problem of existing out-of-order packets usually occurs at the receiver. Large number of these packets exhaust the limited receiving buffer and make the receive window be stalled, which greatly degrade the throughput. Thus, an efficient scheduling mechanism will play an important role to keep in-order delivery. However, almost all of the previous intelligent scheduling mechanisms ignored packet losses, and didn't consider window changes of the congestion control algorithm and utilize the feedback information, which cannot perform well in the lossy heterogeneous networks. In this paper we propose a new scheduling algorithm: Forward Prediction based Dynamic Packet Scheduling and Adjusting with Feedback (DPSAF). DPSAF first utilizes maximum likelihood estimation in TCP modeling to estimate the data amount sent on other paths simultaneously, which takes packet loss rate and time offset into consideration, then gets feedback information from SACK options and fixes the scheduling value. From the simulation, we can see that our mechanism obviously improves throughput and reduces cache occupancy at receiver in lossy heterogeneous networks.
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