基于报头转换的sdn分散地址分配流聚合

Ruisi Wu, Wen-Kang Jia, Xufang Wang
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引用次数: 0

摘要

软件定义网络(SDN)在过去十年中得到了广泛的关注,并在下一代网络(NGN)的发展中发挥了重要作用。IP网络也可以从SDN的演进中受益,以满足数据流量的蓬勃发展。然而,由于SDN交换机中可能出现的流量入口爆炸,传统网络模型向SDN架构的过渡带来了可扩展性问题。SDN交换机的流表规模有限,不足以处理大规模IP网络中成千上万的流。另一方面,不连续IP地址的交错分配也导致路由聚合效率低下,严重降低了SDN认真实施的可行性。因此,我们提出了一种基于修改后的地址和端口重写的主动流聚合方案——目的地址转换和源端口随需转换(DATSPToD)。DATSPToD通过将多个不同来源的同目的流的目的地址转换为一个流项,实现了SDN中流项的聚合,从而大大减少了核心层SDN交换机的流表占用量,即使在自由分散的IP地址空间环境中也是如此。仿真结果表明,在不同的流量模式和拓扑下,特别是在SDN迁移期间的大规模SDN(如Internet)中,DATSPToD在显著减少流表占用方面优于非聚合和通配符聚合方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Header-Translation based Flow Aggregation for Scattered Address Allocating SDNs
Software-Defined Networking (SDN) has obtained a lot of attention in the last decade and has played a significant role in the development of next-generation networks (NGN). IP networks can also benefit from the SDN evolution to fulfill the data traffic booming. However, the transition of the traditional networking model to SDN architectures poses scalability issues due to the possible flow entry explosion in SDN switches. The limited size of flow-table of SDN switches is not sufficient to handle thousands upon thousands of flows in a large-scale IP network. On the other hand, the interleaved allocation of non-contiguous IP addresses also leads to inefficient routing aggregation and reduces the feasibility of the serious implementation of SDN severely. Therefore, we propose an aggressive flow aggregation scheme-Destination Address Translation and Source-Port Translation on Demand (DATSPToD), which is based on the modified address and port rewriting. DATSPToD enables the aggregation of flow entries in SDNs by translating the destination addresses of multiple same-destination flows with different-source into one flow entry, thus significantly reducing the volume of flow-table occupancy of core-layer SDN switches, even in freely scattered IP address space environments. Simulation results show that DATSPToD outperforms non-aggregation and both wildcard aggregation schemes for a significant reduction of the flow-table occupancy under varied traffic patterns and topologies, especially in large-scale SDNs such as the Internet during the SDN migration period.
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