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智能建筑群中边缘设备信息采集的性能评估。

Performance Evaluation of Information Gathering from Edge Devices in a Complex of Smart Buildings.

机构信息

Automation and Industrial Informatics Department, University Politehnica of Bucharest, 060042 Bucharest, Romania.

出版信息

Sensors (Basel). 2022 Jan 27;22(3):1002. doi: 10.3390/s22031002.

Abstract

The use of monitoring systems based on cloud computing has become common for smart buildings. However, the dilemma of centralization versus decentralization, in terms of gathering information and making the right decisions based on it, remains. Performance, dependent on the system design, does matter for emergency detection, where response time and loading behavior become very important. We studied several design options based on edge computing and containers for a smart building monitoring system that sends alerts to the responsible personnel when necessary. The study evaluated performance, including a qualitative analysis and load testing, for our experimental settings. From 700+ edge nodes, we obtained response times that were 30% lower for the public cloud versus the local solution. For up to 100 edge nodes, the values were better for the latter, and in between, they were rather similar. Based on an interpretation of the results, we developed recommendations for five real-world configurations, and we present the design choices adopted in our development for a complex of smart buildings.

摘要

基于云计算的监控系统已在智能建筑中得到广泛应用。然而,在基于信息收集和决策方面,集中化与分散化之间的困境依然存在。性能取决于系统设计,对于紧急情况检测至关重要,其中响应时间和加载行为变得非常重要。我们研究了几种基于边缘计算和容器的设计方案,用于智能建筑监控系统,以便在必要时向相关人员发送警报。该研究评估了性能,包括我们的实验设置的定性分析和负载测试。从 700+个边缘节点中,我们获得的响应时间比公共云低 30%,而本地解决方案则更高。对于最多 100 个边缘节点,后者的响应时间更好,而在两者之间,它们非常相似。基于对结果的解释,我们为五个实际配置提出了建议,并展示了我们在开发智能建筑综合体时采用的设计选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f1/8838296/6f066a2cc11c/sensors-22-01002-g001.jpg

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