4.7 Article

Fault Tolerance in Highly Reliable Ethernet-Based Industrial Systems

期刊

PROCEEDINGS OF THE IEEE
卷 107, 期 6, 页码 977-1010

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2019.2914589

关键词

Dependability; Ethernet; fault tolerance (FT); industrial systems; real time (RT)

资金

  1. Spanish Agencia Estatal de Investigation (AEI)
  2. FEDER [TEC2015-70313-R]
  3. EUROWEB Project through the Erasmus Mundus Action II Programme of the European Commission

向作者/读者索取更多资源

Many industrial systems have specific requirements derived from the applications they execute. Specifically, the interaction of a distributed embedded control system (DECS) with the real-world imposes strict real-time (RT) and reliability requirements. For a system to be RT, it has to produce a proper result in a bounded time. On top of that, for a system to be reliable, it has to operate continuously during its mission time, and in cases in which very high reliability is needed, fault tolerance (FT) techniques are used. Moreover, these systems are often deployed in dynamic environments where the operational conditions may change in an unpredictable manner. Therefore, there is an increasing interest in creating DECSs that are capable of modifying their behavior autonomously and dynamically in response to unexpectedly changing requirements or conditions. In recent years, there is a growing trend toward using Ethernet as the network technology for DECSs. Unfortunately, the original specification of this technology lacks appropriate services to fulfill the most demanding requirements of industrial systems. In this regard, many Ethernet-based protocols and standards have been proposed along the past years to deal with these limitations. In this paper, we survey solutions that have been proposed to achieve FT in Ethernet-based DECSs, considering faults both in their nodes and communication subsystem. In addition, we discuss adaptive FT techniques that can be used to increase the flexibility of adaptive DECS. Finally, we identify future trends and open challenges to build highly reliable DECS in the future.

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