与COTS以太网组件实现自稳定分布式同步:WALDEN方法

IF 1.4 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Real-Time Systems Pub Date : 2021-01-02 DOI:10.1007/s11241-020-09356-x
Shaolin Yu, Jihong Zhu, Jiali Yang
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引用次数: 7

摘要

为了实现商用现货(COTS)以太网的确定性自稳定分布式同步,本文探讨了集成多个量产COTS产品的线适应链路解耦以太网(WALDEN)体系结构。在此基础上,讨论了分布式同步的基本策略。给出了自稳定算法,并进行了形式化分析。此外,在WALDEN架构下,采用COTS开关、PHY芯片和低端ARM系列实现了原型系统,硬件修改最少。实验结果表明,即使存在几微秒的非排队延迟抖动的低质量开关,该原型实现也能达到亚微秒级的同步精度。在现有的解决方案中,这项工作的特点是将分布式同步、向后兼容和自稳定问题作为一个整体来考虑。
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Reaching self-stabilising distributed synchronisation with COTS Ethernet components: the WALDEN approach
For reaching deterministic self-stabilising distributed synchronisation with commercial-off-the-shelf (COTS) Ethernet, this paper explores the Wire-Adapted Linker-Decoupled EtherNet (WALDEN) architecture with the integration of several mass-produced COTS products. Upon this architecture, basic strategies of distributed synchronisation are discussed. Self-stabilising algorithms are presented and formally analysed. Besides, a prototype system is realised with COTS switches, PHY chips, and low-end ARM series under the WALDEN architecture with a minimum hardware modification. The experimental result shows that a sub-microsecond synchronisation precision can be achieved with this prototype implementation even in the presence of low-quality switch with non-queuing delay-jitters of several microseconds. Among existing solutions, this work features in considering the distributed synchronisation, backward-compatibility, and self-stabilisation problems as a whole.
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来源期刊
Real-Time Systems
Real-Time Systems 工程技术-计算机:理论方法
CiteScore
2.90
自引率
7.70%
发文量
15
审稿时长
6 months
期刊介绍: Papers published in Real-Time Systems cover, among others, the following topics: requirements engineering, specification and verification techniques, design methods and tools, programming languages, operating systems, scheduling algorithms, architecture, hardware and interfacing, dependability and safety, distributed and other novel architectures, wired and wireless communications, wireless sensor systems, distributed databases, artificial intelligence techniques, expert systems, and application case studies. Applications are found in command and control systems, process control, automated manufacturing, flight control, avionics, space avionics and defense systems, shipborne systems, vision and robotics, pervasive and ubiquitous computing, and in an abundance of embedded systems.
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