论文标题
SD-FFR：软件定义了自动仓库中的快速故障恢复机制
SD-FFR: Software Defined Fast Failure Recovery Mechanism in the Automatic Warehouse
论文作者
论文摘要
由于物联网技术的快速发展，自动引导车辆（AGV）通过无线网络与工业控制系统（ICS）进行了交互，以支持自动仓库中的货运分配。但是，在存在无线网络链路故障和链接拥塞的情况下，AGV和IC之间的消息交换将经历大量数据包丢失或长传输延迟。因此，仓库自动化的性能将被降低。在本文中，我们建议软件定义的快速故障恢复（SD-FFR）机制，旨在提高网络可靠性并避免负载不平衡引起的连接拥塞。使用SD-FFR，当链路故障发生时，SDN控制器会积极检测毫秒内的链路故障，然后将受影响的流量相应地重新安置。提出的SD-FFR机制还考虑了当网络中发生新的流动流或链路故障时选择路由路径时的负载平衡。评估结果表明，网络性能可以有效地提高时间。
Due to the rapid development of IoT technology, automatic guided vehicles (AGVs) interact with an industrial control system (ICS) through the wireless network to support the freight distribution in the automated warehouse. However, the message exchange among AGVs and the ICS would experience large packet loss or long transmission delay, in the presence of wireless network link failure and link congestion. Therefore, the performance of warehouse automation would be degraded. In this paper, we propose the Software Defined Fast Failure Recovery(SD-FFR) mechanism, aiming to improve network reliability and avoid link congestion caused by load unbalance. With SD-FFR, when link failure occurs, the SDN controller actively detects the link failure within milliseconds, and then reroutes the affected traffic flows accordingly. The proposed SD-FFR mechanism also takes load balance into consideration in selecting routing paths when a new traffic flow joins or link failure occurs in the network. The evaluation results show that network performance can be time efficiently improved.
