当前位置: X-MOL 学术Softw. Pract. Exp. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
IoT‐fog‐cloud based architecture for smart systems: Prototypes of autism and COVID‐19 monitoring systems
Software: Practice and Experience ( IF 3.5 ) Pub Date : 2020-11-03 , DOI: 10.1002/spe.2924
Ameni Kallel 1, 2 , Molka Rekik 3, 4 , Mahdi Khemakhem 1, 3
Affiliation  

Making resources closer to the user might facilitate the integration of new technologies such as edge, fog, cloud computing, and big data. However, this brings many challenges shall be overridden when distributing a real‐time stream processing, executing multiapplication in a safe multitenant environment, and orchestrating and managing the services and resources into a hybrid fog/cloud federation. In this article, first, we propose a business process model and notation (BPMN) extension to enable the Internet of Things (IoT)‐aware business process (BP) modeling. The proposed extension takes into consideration the heterogeneous IoT and non‐IoT resources, resource capacities, quality of service constraints, and so forth. Second, we present a new IoT‐fog‐cloud based architecture, which (i) supports the distributed inter and intralayer communication as well as the real‐time stream processing in order to treat immediately IoT data and improve the entire system reliability, (ii) enables the multiapplication execution within a multitenancy architecture using the single sign‐on technique to guarantee the data integrity within a multitenancy environment, and (iii) relies on the orchestration and federation management services for deploying BP into the appropriate fog and/or cloud resources. Third, we model, by using the proposed BPMN 2.0 extension, smart autistic child and coronavirus disease 2019 monitoring systems. Then we propose the prototypes for these two smart systems in order to carry out a set of extensive experiments illustrating the efficiency and effectiveness of our work.

中文翻译:

基于 IoT-fog-cloud 的智能系统架构:自闭症和 COVID-19 监测系统的原型

使资源更贴近用户可能会促进边缘、雾、云计算和大数据等新技术的集成。然而,在分发实时流处理、在安全的多租户环境中执行多应用程序以及将服务和资源编排和管理为混合雾/云联合时,这带来了许多挑战。在本文中,首先,我们提出了一个业务流程模型和符号 (BPMN) 扩展,以支持物联网 (IoT) 感知业务流程 (BP) 建模。提议的扩展考虑了异构物联网和非物联网资源、资源容量、服务质量限制等。其次,我们提出了一种新的基于 IoT-fog-cloud 的架构,(i) 支持分布式层间和层内通信以及实时流处理,以便立即处理 IoT 数据并提高整个系统的可靠性,(ii) 使用单签实现多租户架构内的多应用程序执行。在多租户环境中保证数据完整性的技术,以及 (iii) 依靠编排和联合管理服务将 BP 部署到适当的雾和/或云资源中。第三,我们通过使用提议的 BPMN 2.0 扩展、智能自闭症儿童和冠状病毒疾病 2019 监测系统进行建模。然后我们提出了这两个智能系统的原型,以进行一系列广泛的实验,说明我们工作的效率和有效性。
更新日期:2020-11-03
down
wechat
bug