结合用户需求的面向环境的物联网服务建模

Lei Yu, Yang Lu, Benhong Zhang, Ya Li, Fangliang Huang, Yulian Shen
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引用次数: 0

摘要

与传统的Web服务相比,物联网服务由于其所处物理环境的资源约束和动态可变性,对响应速度、能耗和容错性提出了更高的要求,影响了物联网系统的整体特性。因此,基于物联网服务所在的外部环境,对物联网服务进行正式建模,并结合用户需求对模型进行分析验证,以保证物联网系统的正确性、可靠性和稳定性是非常必要的。为此,基于面向环境的思想,充分考虑用户需求,提出了一种物联网服务形式化建模方法。基于物联网原子服务、与服务交互的环境实体和用户需求的描述方法,利用概率时间自动机完成物联网服务及其物理环境的建模,利用时序逻辑公式完成用户需求的建模。最后,以医院物联网智能诊所应用场景为例,阐述物联网服务的具体建模过程,并对上述建模方法的有效性和可行性进行分析。该方法为物联网服务功能行为的正确性验证和非功能约束的满足性验证提供了科学依据和实施参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Environment-oriented Internet of Things Service Modeling Integrating with User Requirements
Compared with traditional Web services, Internet of Things services have higher requirements on response speed, energy consumption and fault tolerance due to the resource constraints and dynamic variability of the physical environment in which they are located, affecting the overall characteristics of the Internet of Things systems. Therefore, it is very necessary to formally model the Internet of Things service based on the external environment where the Internet of Things service is located, and analyze and verify the model in combination with user requirements to ensure the correctness, reliability and stability of the Internet of Things system. For this reason, based on the idea of environment-oriented and fully considering the needs of users, a formal modeling method for Internet of Things services is proposed. Based on the description methods of the atomic service of the Internet of Things, the environment entities interacting with the service and the user requirements, the probabilistic timed automata is used to complete the modeling of the Internet of Things service and its physical environment, and the temporal logic formula is used to complete the modeling of the user requirements. Finally, taking the application scenario of intelligent clinic in the Internet of Things of hospital as an example, the specific modeling process of the Internet of Things service is explained, and the effectiveness and feasibility of the above modeling method are analyzed. This method provides scientific basis and implementation reference for the correctness verification of the functional behavior of Internet of things services and the satisfaction verification of non-functional constraints.
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