物联网智能物流系统容错服务组合建模与分析

针对物流领域的服务组合存在容错性差和服务不可靠等问题,提出一种基于π网的物联网智能物流系统物流服务容错组合模型。首先,在简单介绍物联网智能物流系统后,给出了物联网智能物流系统的容错服务组合框架;然后,基于π网建立了物联网智能物流系统物流服务容错组合模型,并对模型进行了容错正确性和拟合性分析;最后,对提出的模型进行了服务可靠性、服务故障容错可靠性实验,并与Petri网、QoS动态预测算法、模糊卡诺模型和改进粒子群优化的服务组合方法针对服务组合的执行时间、用户满意度、可靠性和最优度进行对比实验。实验结果表明,所提模型具有更高的服务可靠性和服务故障容错可靠性,同时在服务组合的执行时间、用户满意度、可靠性和最优度等方面也具有一定的优越性。

Modeling and analysis of fault tolerant service composition for intelligent logistics systems of Internet of Things

In order to solve the problem that the service composition in the logistics field has poor tolerance and unreliable service, a model of logistics service fault-tolerant composition for intelligent logistics system of Internet of Things (IoT) based on π-net was built. Firstly, after a brief introdution of IoT intelligent logistics system, a fault-tolerant service composition framework for the system was provided. Then, a model of logistics service fault-tolerant composition for the system based on π-net was built, and the correctness of fault tolerance and fitting degree of the model were analyzed. Finally, the service reliability and the fault-tolerant reliability of the model were tested, and the comparison with Petri-net, QoS (Quality of Service) dynamic prediction, fuzzy Kano model and modified particle swarm optimization methods in the service composition execution time, user satisfaction, reliability and optimal degree were carried out. The results show that the proposed model has high service reliability and fault-tolerant reliability, and has certain advantages in terms of service composition execution time, user satisfaction, reliability and optimal degree.