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A software-defined networks-based measurement method of network traffic for 6G technologies
Transactions on Emerging Telecommunications Technologies ( IF 3.6 ) Pub Date : 2020-11-13 , DOI: 10.1002/ett.4172 Liuwei Huo 1 , Dingde Jiang 2 , Zhihan Lv 3
Transactions on Emerging Telecommunications Technologies ( IF 3.6 ) Pub Date : 2020-11-13 , DOI: 10.1002/ett.4172 Liuwei Huo 1 , Dingde Jiang 2 , Zhihan Lv 3
Affiliation
In software-defined networks (SDN) for 6G technologies, the controller should accurately and efficiently measure the flow traffic in switches for traffic engineering. Fine-grained flow measurement can more accurately describe the traffic in the network, but it also consumes much more resources. To reduce the overhead incurred in the measurement process and obtain the approximate fine-grained measurements, we propose a novel lightweight measurement scheme that runs in the controller. The novel lightweight measurement architecture consists of two parts: coarse-grained measurement and interpolation-optimization. In the first part, based on the SDN architecture, we use the pull-based random sampling method to quickly obtain the coarse-grained measurement of flow traffic through OpenFlow protocol. In the second part, we insert some discrete values into the coarse-grained measurement with the interpolation theory, then we optimize interpolation results until finding the optimal fine-grained flow traffic measurement by utilizing the multiconstraint method. We verified the feasibility of the proposed measurement method, and simulation results show that the measurement error of the proposed method is under 25%, but the flow measurement overhead of this method occupies only 3.3% compared with that of the fine-grained method.
中文翻译:
一种基于软件定义网络的 6G 技术网络流量测量方法
在 6G 技术的软件定义网络 (SDN) 中,控制器应准确有效地测量交换机中的流量以进行流量工程。细粒度的流量测量可以更准确地描述网络中的流量,但它也会消耗更多的资源。为了减少测量过程中产生的开销并获得近似的细粒度测量,我们提出了一种在控制器中运行的新型轻量级测量方案。新颖的轻量级测量架构由两部分组成:粗粒度测量和插值优化。第一部分基于SDN架构,采用基于拉取的随机抽样方法,通过OpenFlow协议快速获取流量的粗粒度测量。在第二部分,我们利用插值理论在粗粒度测量中插入一些离散值,然后我们优化插值结果,直到利用多约束方法找到最佳的细粒度流量测量。我们验证了所提测量方法的可行性,仿真结果表明,所提方法的测量误差在25%以下,但与细粒度方法相比,该方法的流量测量开销仅占3.3%。
更新日期:2020-11-13
中文翻译:
一种基于软件定义网络的 6G 技术网络流量测量方法
在 6G 技术的软件定义网络 (SDN) 中,控制器应准确有效地测量交换机中的流量以进行流量工程。细粒度的流量测量可以更准确地描述网络中的流量,但它也会消耗更多的资源。为了减少测量过程中产生的开销并获得近似的细粒度测量,我们提出了一种在控制器中运行的新型轻量级测量方案。新颖的轻量级测量架构由两部分组成:粗粒度测量和插值优化。第一部分基于SDN架构,采用基于拉取的随机抽样方法,通过OpenFlow协议快速获取流量的粗粒度测量。在第二部分,我们利用插值理论在粗粒度测量中插入一些离散值,然后我们优化插值结果,直到利用多约束方法找到最佳的细粒度流量测量。我们验证了所提测量方法的可行性,仿真结果表明,所提方法的测量误差在25%以下,但与细粒度方法相比,该方法的流量测量开销仅占3.3%。