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SAMPO: Online subflow association for multipath TCP with partial flow records

机译:SAMPO:具有部分流记录的多路径TCP的在线子流关联

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Multipath TCP (MPTCP) is a promising technique for boosting application throughput while using well-known and versatile network socket interfaces. Recently, many interesting applications of MPTCP in various environments such as wireless networks and data centers have been proposed, but little work has been done to investigate the impact of this protocol on conventional network devices. For example, MPTCP throughput advantage can be better achieved if all MPTCP subflows are routed on disjoint paths, but this is currently not feasible since routers are not designed to recognize the membership of MPTCP subflows. In this paper, we take a first step to address this issue by proposing SAMPO, an online algorithm to detect and associate MPTCP subflows in network. The main challenge is that sampling techniques and network dynamics may cause a network device to only obtain partial flow records. SAMPO takes advantage of both protocol information and statistical characteristics of MPTCP data sequence number to overcome the challenge in network. Through analysis and experimentation, we show that SAMPO is able to detect and associate MPTCP subflows with high accuracy even when a small portion of the entire flow records are available.
机译:多路径TCP(MPTCP)是一种有前途的技术,可在使用众所周知的通用网络套接字接口的同时提高应用程序的吞吐量。近来,已经提出了MPTCP在诸如无线网络和数据中心之类的各种环境中的许多有趣的应用,但是尚未进行任何工作来研究该协议对常规网络设备的影响。例如,如果所有MPTCP子流都在不相交的路径上路由,则可以更好地实现MPTCP吞吐量优势,但是由于路由器没有被设计为识别MPTCP子流的成员身份,因此目前尚不可行。在本文中,我们通过提出SAMPO(一种用于检测和关联网络中MPTCP子流的在线算法)来解决这一问题的第一步。主要挑战是采样技术和网络动态可能会导致网络设备仅获取部分流记录。 SAMPO充分利用协议信息和MPTCP数据序列号的统计特性来克服网络中的挑战。通过分析和实验,我们表明,即使在整个流记录的一小部分可用的情况下,SAMPO仍能够高精度地检测和关联MPTCP子流。

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