A software‐defined networks‐based measurement method of network traffic for 6G technologies

Abstract

In Software-Defined Networks (SDN) for 6G technologies, the controller should and efficiently measure the flow traffic in switches for traffic engineering. Fine-grained flow m can more accurately describe the traffic in the network, but it also consumes much more res reduce the overhead incurred in the measurement process and obtain the approximate f measurements, we propose a novel lightweight measurement scheme that runs in the controller lightweight measurement architecture consists of two parts: coarse-grained measurement and in optimization. In the first part, based on the SDN architecture, we use the pull-based random method to quickly obtain the coarse-grained measurement of flow traffic through OpenFlow prot second part, we insert some discrete values into the coarse-grained measurement with the in theory, then we optimize interpolation results until finding the optimal fine-grained f measurement by utilizing the multi-constraint method. We verified the feasibility of the measurement method, and simulation results show that the measurement error of the proposed under 25%, but the flow measurement overhead of this method occupies only 3.3% compared the fine-grained method.

LSSDNF: A Lightweight Secure Software Defined Network Framework for Future Internet in 5G–6G

“…In order to streamline management and boost resource efficiency, some effort has been made to integrate the SDN, also known as the software-defined space information network. Huo et al (2022) [16] provide a unique lightweight measuring system that operates in the controller in order to lessen the overhead involved in the measurement process and achieve roughly fine-grained measurements. Coarse-grained measurement and interpolation optimization make up the innovative lightweight measurement architecture.…”

Detecting Tor Bridge from Sampled Traffic in Backbone Networks

“…In SDN, the controller is responsible for measuring traffic. Due to the limited memory of the controller, in research [16], L Huo et al proposed a lightweight measurement architecture that can run in the controller. In this architecture, they used a pull-based sampling method to measure the flow rate, so that only a small amount of measurement values are stored in the controller to achieve coarse-grained measurement.…”

“…Traffic sampling is widely used in the field of intrusion detection [14][15] and SDN measurement [16]. And the sampling techniques can be classified into two types, including packet-based sampling and flow-based sampling.…”