软件定义网络中的小数据包流:流量轮廓优化

J. Saldaña, David de Hoz, J. Fernández-Navajas, José Ruíz, F. Pascual, D. López, D. Florez, J. A. Castell, M. Nunez
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引用次数: 12

摘要

本文提出了一种基于OpenFlow的软件定义网络(sdn)带宽优化方法。呈现高开销的小数据包流,如新兴业务生成的流,可以由SDN控制器识别,以便删除流中任何数据包共用的报头字段,仅在其通过SDN的过程中。同时,多个数据包可以在同一帧中复用,从而减少帧的总数。该方法可用于在数据包穿越SDN时提供QoS。考虑了四种类型的小数据包流量(VoIP、基于UDP和TCP的在线游戏、TCP流的ack)。对IPv4和IPv6都进行了研究,对于所考虑的各种流量,可以获得显著的带宽节省(IPv4高达68%,IPv6高达78%)。该优化方法还应用于不同的公共互联网流量轨迹,并实现了每秒数据包的显著减少。结果表明,带宽消耗也减少了,特别是在那些小数据包百分比高的跟踪中。至于对QoS的影响,在吞吐量高的情况下,额外的延迟可以保持在非常低的水平(低于1毫秒),但在吞吐量低的情况下,它可能会变得很重要。因此,在这些情况下,需要在节省带宽和额外延迟之间进行权衡。
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Small-Packet Flows in Software Defined Networks: Traffic Profile Optimization
This paper proposes a method for optimizing bandwidth usage in Software Defined Networks (SDNs) based on OpenFlow. Flows of small packets presenting a high overhead, as the ones generated by emerging services, can be identified by the SDN controller, in order to remove header fields that are common to any packet in the flow, only during their way through the SDN. At the same time, several packets can be multiplexed together in the same frame, thus reducing the overall number of frames. The method can be useful for providing QoS while the packets are traversing the SDN. Four kinds of small-packet traffic flows are considered (VoIP, UDP and TCP-based online games, and ACKs from TCP flows). Both IPv4 and IPv6 are studied, and significant bandwidth savings (up to 68 % for IPv4 and 78 % for IPv6) can be obtained for the considered kinds of traffic. The optimization method is also applied to different public Internet traffic traces, and significant reductions in terms of packets per second are achieved. Results show that bandwidth consumption is also reduced, especially in those traces where the percentage of small packets is high. Regarding the effect on QoS, the additional delay can be kept very low (below 1 millisecond) when the throughput is high, but it may become significant for low- throughput scenarios. Thus, a trade-off between bandwidth saving and additional delay appears in those cases.
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