通过软件定义网络平台管理工业物联网,实现快速动态容错应用

IF 3.5 2区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Nteziriza Nkerabahizi Josbert, Min Wei, Ping Wang
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引用次数: 0

摘要

软件定义网络(SDN)技术已成为保证工业物联网(IIoT)生态系统高可靠性的一种有前途的解决方案。通过 SDN,基于容错的路由保护(RP)和基于容错的路由恢复(RR)可在 IIoT 出现网络故障时提供流量重路由。RR 根据当前网络状态动态地重新定义路由。然而,它大大增加了恢复时间,不适合 IIoT 的服务质量(QoS)要求。相反,RP 可确保快速故障切换,但在超时间隔到期之前,当网络状态发生变化时无法更新。为了解决这些问题,我们提出了一种动态路由保护(DRP)机制,它能根据变化重新计算并重新安装新的最优链路隔离路由,而不是等待控制器重新发送新的流量指令。此外,如果次要路由被修复,DRP 会快速响应,将数据包从次要路由转发到主要路由。当连接故障同时影响主路由上的链路和辅助路由上的链路时,为了快速恢复,DRP 机制利用动态哈希表(DHT)结构在控制器内存中缓存第三条路由的策略。DRP 考虑了异构流量,如对延迟敏感或同时对延迟和损耗敏感的流量。本文再次介绍了软件定义物联网(SDIIoT)的候选容错架构,该架构将物联网网络解耦为三个功能层。仿真网络和实验硬件测试平台的结果表明,DRP机制优于FT-RP、RR、LFR、Pro-VLAN和SDNRMbw机制,其故障恢复时间、端到端延迟、数据包违规率、数据包丢失率以及主路由修复后重新使用所需的时间均最小化,同时数据包交付率最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industrial IoT regulated by Software-Defined Networking platform for fast and dynamic fault tolerance application

Software-Defined Networking (SDN) technology has emerged as a promising solution to guarantee high reliability in the Industrial Internet of Things (IIoT) ecosystem. Through SDN, both fault tolerance-based Route Protection (RP) and fault tolerance-based Route Restoration (RR) are available to provide traffic rerouting when a network failure occurs in IIoT. RR redefines routes dynamically based on the current network status. However, it increases significantly the recovery time, which is not suitable for the Quality-of-Service (QoS) requirements of IIoT. In contrary, RP ensures fast failover, but it cannot be updated when the network status changes until the timeout interval expires. To deal with these issues, we propose a Dynamic Route Protection (DRP) mechanism that recalculates and reinstalls new optimal link-disjoint routes in accordance with the change rather than awaiting the controller to retransmit new flow instructions. Moreover, DRP responds speedily to forward the data packets from the secondary route to the main route if it is repaired. To recover rapidly when the connection failure affects both a link on the main route and the link on the secondary route simultaneously, the DRP mechanism utilizes the strategy of caching the third route in the controller memory using the Dynamic Hash Table (DHT) structure. DRP considers the heterogeneous traffic flows such as either delay-sensitive or both delay-sensitive and loss-sensitive. Again, this paper introduces a candidate fault tolerance architecture for Software-Defined IIoT (SDIIoT) that decouples IIoT networks into three functional layers. The results from the simulation network and the experimental hardware testbed illustrated that the DRP mechanism outperforms the FT-RP, RR, LFR, Pro-VLAN, and SDNRMbw mechanisms by minimizing the failure recovery time, end-to-end delay, packet violation rate, packet loss rate, and the time required to reuse the main route when it is repaired, while maximizing the packet delivery ratio.

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来源期刊
Simulation Modelling Practice and Theory
Simulation Modelling Practice and Theory 工程技术-计算机:跨学科应用
CiteScore
9.80
自引率
4.80%
发文量
142
审稿时长
21 days
期刊介绍: The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.
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