SDN中基于迁移优化的控制器负载均衡策略*

针对SDN多控制器负载均衡过程中交换机迁移僵化和迁移冲突问题,本文对现有的交换机迁移模型实施优化,提出了一种阶段式控制器负载均衡策略。在阶段1,综合控制器的各类开销代价,基于遗传算法优化迁移目标,选取交换机迁入和迁出域;在阶段2,通过设定子域迁移度和交换机有效期,实现了多交换机的协调迁移。仿真结果表明,与现有的负载均衡策略相比,改善了迁移域的选取过程,优化了交换机到控制器的动态部署,控制器负载均衡率提升了约21%。     

SDN多控制器一致性的量化研究

针对SDN网络中多控制器的一致性问题,提出了一种量化的研究方法,为控制层的东西向扩展提供更为精准有效的共享网络视图方法。首先,结合SDN的特性,给出了控制器之间一致性、性能以及可用性的度量指标,建立通用的量化分析模型。其次,针对其中3类典型的一致性问题进行了量化研究,明确了其取得最优值的条件,为一致性参数的配置提供了参考。最后,通过仿真实验对该量化方法进行验证。实验结果表明,该量化方法能够有效提高SDN控制层的性能和可用性。     

带USB接口的多智能传感器数据采集

本文在介绍USB接口的多个智能位移传感器的原理基础上，介绍它们在工业制造领域的应用实例。     

基于多控制器的光伏监控系统的设计与实现

基于IC200 UDR040-CC通用PLC和DSPIC30F6010A设计了光伏监控系统,采用Kingview 6.52实现了系统的实时监控。实验表明:该装置工作稳定、实时性好,能够正确完成对光伏系统的远程监控,同时降低了人为控制引起的成本。     

RMCARTAM For DDoS Attack Mitigation in SDN Using Machine Learning

The impact of a Distributed Denial of Service (DDoS) attack on Software Defined Networks (SDN) is briefly analyzed. Many approaches to detecting DDoS attacks exist, varying on the feature being considered and the method used. Still, the methods have a deficiency in the performance of detecting DDoS attacks and mitigating them. To improve the performance of SDN, an efficient Real-time Multi-Constrained Adaptive Replication and Traffic Approximation Model (RMCARTAM) is sketched in this article. The RMCARTAM considers different parameters or constraints in running different controllers responsible for handling incoming packets. The model is designed with multiple controllers to handle network traffic but can turn the controllers according to requirements. The multi-constraint adaptive replication model monitors different features of network traffic like rate of packet reception, class-based packet reception and target-specific reception. According to these features, the method estimates the Replication Turning Weight (RTW) based on which triggering controllers are performed. Similarly, the method applies Traffic Approximation (TA) in the detection of DDoS attacks. The detection of a DDoS attack is performed by approximating the incoming traffic to any service and using various features like hop count, payload, service frequency, and malformed frequency to compute various support measures on bandwidth access, data support, frequency support, malformed support, route support, and so on. Using all these support measures, the method computes the value of legitimate weight to conclude the behavior of any source in identifying the malicious node. Identified node details are used in the mitigation of DDoS attacks. The method stimulates the network performance by reducing the power factor by switching the controller according to different factors, which also reduces the cost. In the same way, the proposed model improves the accuracy of detecting DDoS attacks by estimating the features of incoming traffic in different corners.     

A Dormant Multi-Controller Model for Software Defined Networking

In order to improve the scalability and reliability of Software Defined Networking （SDN）, many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail over. In this paper, we develop a flexible dormant multi-controller model based on the centralized multi-controller architecture. The dormant multi-controller model allows part of controllers to enter the dormant state under light traffic condition for saving system cost. Meanwhile, through queueing analysis, various performance measures of the system can be obtained. Moreover, we analyze the real traffic of China Education Network and use the results as the parameters of computer simulation and verify the effects of parameters on the system characteristics. Finally, a total expected cost function is established, and genetic algorithm is employed to find the optimal values of various parameters to minimize system cost for the deployment decision making.     

基于软件定义网络的一种多控制器休眠模型(英文)

In order to improve the scalability and reliability of Software Defined Networking(SDN),many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail over.In this paper,we develop a flexible dormant multi-controller model based on the centralized multi-controller architecture.The dormant multi-controller model allows part of controllers to enter the dormant state under light traffic condition for saving system cost.Meanwhile,through queueing analysis,various performance measures of the system can be obtained.Moreover,we analyze the real traffic of China Education Network and use the results as the parameters of computer simulation and verify the effects of parameters on the system characteristics.Finally,a total expected cost function is established,and genetic algorithm is employed to find the optimal values of various parameters to minimize system cost for the deployment decision making.     

气动力/直接力复合控制导弹自动驾驶仪的鲁棒稳定性分析

文中针对气动力／直接力复合控制导弹自动驾驶仪的前馈一反馈控制器结构特点，基于对直接力喷流装置放大因子与攻角的对应关系和直接力寄生回路的耦合机理的分析，研究了气动力／直接力复合控制导弹自动驾驶仪的鲁棒稳定性问题。给出了采用气动力／直接力复合控制导弹自动驾仪的稳定域。     

基于改进型拍卖的软件定义网络交换机迁移机制

多控制器软件定义网络(SDN)中交换机迁移策略单一,造成迁移效率低且多次迁移。为此,提出一种基于改进型拍卖的交换机迁移机制PASMM,将交换机的迁移问题优化成为控制器剩余资源的拍卖问题,通过提高处于供不应求状态的控制器资源的交易价格,完成拍卖过程,实现控制器和交换机的重新部署,提高网络效益。仿真实验表明,与典型的交换机迁移策略相比,PASMM达到了较好的控制器负载均衡,PACKET_IN消息的响应时间减少了约13.5%,同时随着交换机流请求的增大,PASMM的迁移时间最少。     

基于近邻情景认知的软件定义网络多域协同控制机制

针对软件定义网络（software-defined networking,SDN）分布式多控制器部署中存在的控制器负载不均衡问题,提出了一种基于近邻情景认知的多域协同控制机制。首先,通过改进现有的近邻传播（affinity propagation,AP）聚类算法,以跳数为原则,对网络中节点进行聚类操作,形成SDN子域并在聚类中心部署控制器;然后基于控制器 —交换机之间的协同映射对网络连接关系进行优化,以增强网络的稳定性。仿真表明,相比其他方法,该机制能够实现网络区域的合理划分,控制器负载均衡率至少提高了26.7%。