论文标题

基于SDN的机器人网络物理系统中的实时QoS路由方案

Real-time QoS Routing Scheme in SDN-based Robotic Cyber-Physical Systems

论文作者

Jhaveri, Rutvij H., Tan, Rui, Ramani, Sagar V.

论文摘要

工业网络物理系统(CPS)近年来由于其在第四次工业革命中的自动化和成本降低功能而引起了制造商的极大关注(行业4.0)。这种连接的网络和物理组件的工业网络可能包括昂贵的组件,例如机器人。为了在这种网络中提供有效的沟通,必须改善服务质量(QoS)。软件定义的网络(SDN)已通过允许集中式控制器使用统一接口对每个流程进行编程,以动态方式实现QoS概念的关键技术。但是,最先进的解决方案并未有效地使用SDN的集中可见性来满足此类工业网络的QoS要求。在本文中,我们提出了一种基于SDN的路由机制,该机制试图改善具有艰难实时要求的机器人网络物理系统中的QoS。我们利用SDN功能基于当前链接参数动态选择路径,以改善此类延迟约束网络中的QoS。我们验证了拟议方法对现实的工业开放流拓扑的效率。我们的实验表明,所提出的方法在平均吞吐量,端到端延迟和抖动方面显着优于现有的基于延迟的路由机制。提出的解决方案将证明对机器人网络物理系统中的工业应用非常重要。

Industrial cyber-physical systems (CPS) have gained enormous attention of manufacturers in recent years due to their automation and cost reduction capabilities in the fourth industrial revolution (Industry 4.0). Such an industrial network of connected cyber and physical components may consist of highly expensive components such as robots. In order to provide efficient communication in such a network, it is imperative to improve the Quality-of-Service (QoS). Software Defined Networking (SDN) has become a key technology in realizing QoS concepts in a dynamic fashion by allowing a centralized controller to program each flow with a unified interface. However, state-of-the-art solutions do not effectively use the centralized visibility of SDN to fulfill QoS requirements of such industrial networks. In this paper, we propose an SDN-based routing mechanism which attempts to improve QoS in robotic cyber-physical systems which have hard real-time requirements. We exploit the SDN capabilities to dynamically select paths based on current link parameters in order to improve the QoS in such delay-constrained networks. We verify the efficiency of the proposed approach on a realistic industrial OpenFlow topology. Our experiments reveal that the proposed approach significantly outperforms an existing delay-based routing mechanism in terms of average throughput, end-to-end delay and jitter. The proposed solution would prove to be significant for the industrial applications in robotic cyber-physical systems.

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