The most important challenge of the IoT is how to manage it. The presence of different technologies rendered IoT management much more complicated. DMTF has collected the management parameters in five FCAPS capacities. Regarding FCAPS, Fault Tolerance Capacity should be viewed as the first parameter among the top management characteristics. The objective of the present study is providing a new hybrid architecture of Fault Tolerance in the second layer of the IoT. The maximum use of the Reactive and Proactive policies and applying all methods of Fault Detection has been explored in the structure of the proposed architecture. In Fault Recovery Phase, most of the strategies in this field are implemented. The architecture proposed in this paper is implemented in both Cloudsim and Pegasus-WMS simulators. The results of the simulation demonstrate the positive impact of applying Proactive and Reactive Policies in combination in the proposed architecture. Also, fuzzy logic and fuzzy inference systems are used to model and analyse the reliability of architectures. The results obtained in this area show an increase in the fault tolerance of the proposed architecture completely transparent and tangible.

物联网的最重要挑战是如何对其进行管理。不同技术的出现使物联网管理变得更加复杂。DMTF已收集了五种FCAPS能力的管理参数。关于FCAPS，容错能力应被视为最高管理特征中的第一个参数。本研究的目的是在物联网的第二层中提供一种新的容错混合架构。在所提议的体系结构中，已经探索了最大程度地使用响应和主动策略以及应用所有故障检测方法的情况。在故障恢复阶段，将实施该领域中的大多数策略。本文提出的架构可在Cloudsim和Pegasus-WMS模拟器中实现。仿真结果证明了在提议的体系结构中结合应用主动策略和被动策略的积极影响。此外，模糊逻辑和模糊推理系统用于建模和分析体系结构的可靠性。在该领域获得的结果表明，所提出的体系结构完全透明且有形的容错能力有所提高。