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A fast and scalable approach for IoT service selection based on a physical service model

机译：基于物理服务模型的快速可扩展的物联网服务选择方法

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摘要

Information Systems (ISs) have become one of the crucial tools for various organizations in managing and coordinating business processes. Now we are entering the era of the Internet of Things (IoT). IoT is a paradigm in which real-world physical things can be connected to the Internet and provide services through the computing devices attached. The IoT infrastructure is starting to be integrated with ISs thereby diminishing the boundaries between the physical world and the business IT systems. With the development of IoT technologies, the number of connected things and their available physical services are increasing rapidly. Thus, selecting an appropriate service that satisfies a user's requirements from such services becomes a time-consuming challenge. To address this issue, we propose a Physical Service Model (PSM) as a common conceptual model to describe heterogeneous IoT physical services. PSM contains three core concepts (device, resource, and service) and specifies their relationships. Based on the proposed PSM, we define three types of Quality of Service (QoS) attributes and rate candidate services according to user requirements. To dynamically rate QoS values and select an appropriate physical service, we propose a Physical Service Selection (PSS) method that takes a user preference and an absolute dominance relationship among physical services into account. Finally, experiments are conducted to evaluate the performance of the proposed method.
机译：信息系统（IS）已成为各种组织管理和协调业务流程的重要工具之一。现在，我们正在进入物联网（IoT）时代。物联网是一种范例，其中现实世界的物理事物可以连接到Internet并通过连接的计算设备提供服务。物联网基础设施开始与IS集成，从而缩小了物理世界与业务IT系统之间的界限。随着物联网技术的发展，互联事物及其可用物理服务的数量正在迅速增加。因此，从这样的服务中选择满足用户需求的适当服务成为一项费时的挑战。为了解决此问题，我们提出了物理服务模型（PSM）作为描述异构物联网物理服务的通用概念模型。 PSM包含三个核心概念（设备，资源和服务）并指定它们之间的关系。基于提出的PSM，我们根据用户需求定义了三种类型的服务质量（QoS）属性和速率候选服务。为了动态评估QoS值并选择适当的物理服务，我们提出了一种物理服务选择（PSS）方法，该方法考虑了用户的偏好以及物理服务之间的绝对优势关系。最后，进行实验以评估该方法的性能。

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