A Distributed Decision Mechanism for Controller Load Balancing Based on Switch Migration in SDN

作     者：Tao Hu Peng Yi Jianhui Zhang Julong Lan 

作者机构：National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2018年第15卷第10期

页      面：129-142页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by This work is supported by the Project of National Network Cyberspace Security(Grant No.2017YFB0803204) the National High-Tech Research and Development Program of China(863 Program)(Grant No.2015AA016102) Foundation for Innovative Research Group of the National Natural Science Foundation of China(Grant No.61521003) Foundation for the National Natural Science Foundation of China(Grant No.61502530) 

主　　题：software defined networking controller load balancing switch migration distributed decision 

摘      要：Software Defined Networking(SDN) provides flexible network management by decoupling control plane from data plane. And multiple controllers are deployed to improve the scalability and reliability of the control plane, which could divide the network into several subdomains with separate controllers. However, such deployment introduces a new problem of controller load imbalance due to the dynamic traffic and the static configuration between switches and controllers. To address this issue, this paper proposes a Distribution Decision Mechanism(DDM) based on switch migration in the multiple subdomains SDN network. Firstly, through collecting network information, it constructs distributed migration decision fields based on the controller load condition. Then we choose the migrating switches according to the selection probability, and the target controllers are determined by integrating three network costs, including data collection, switch migration and controller state synchronization. Finally, we set the migrating countdown to achieve the ordered switch migration. Through verifying several evaluation indexes, results show that the proposed mechanism can achieve controller load balancing with better performance.