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An Experimental Study for Intelligent Logistics: A Middleware Approach

机译:智能物流的实验研究:一种中间件方法

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Recent years have witnessed a rapid growth in using Internet of things (IoT), which facilitates and simultaneously raises challenges for the intelligent logistics. The real-world devices can provide their functionality as Web services. Because of the dynamicity and heterogeneity of the target networking environment, the services offered by IoT resources cannot be composed by simply extending existing Service oriented architecture (SOA) approaches. Logistics, which consists of a complex network of organizations and business processes, must be monitored in real time. Based on the proper understanding of the possible exceptions, we propose a middleware approach to solve the logistics service composition in IoT, where a decentralized coordination mechanism is used to monitor the component services with few resources efficiently. Through a set of experiments, the effectiveness and robustness of our approach are evaluated.
机译:近年来,物联网(IoT)的使用迅速增长,这为智能物流带来了便利,同时也带来了挑战。实际设备可以将其功能作为Web服务提供。由于目标网络环境的动态性和异构性,无法仅通过扩展现有的面向服务的架构(SOA)方法来构成IoT资源提供的服务。由组织和业务流程组成的复杂网络组成的物流必须实时监控。在对可能的例外情况的正确理解的基础上,我们提出了一种中间件方法来解决物联网中的物流服务组合,其中使用分散式协调机制来有效地监视资源很少的组件服务。通过一组实验,评估了我们方法的有效性和鲁棒性。

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