Smart city information processing under internet of things and cloud computing

Abstract

This study is to explore the smart city information (SCI) processing technology based on the Internet of Things (IoT) and cloud computing, promoting the construction of smart cities in the direction of effective sharing and interconnection. In this study, a SCI system is constructed based on the information islands in the smart construction of various fields in smart cities. The smart environment monitoring, smart transportation, and smart epidemic prevention at the application layer of the SCI system are designed separately. A multi-objective optimization algorithm for cloud computing virtual machine resource allocation method (CC-VMRA method) is proposed, and the application of the IoT and cloud computing technology in the smart city information system is further analysed and simulated for the performance verification. The results show that the multi-objective optimization algorithm in the CC-VMRA method can greatly reduce the number of physical servers in the SCI system (less than 20), and the variance is not higher than 0.0024, which can enable the server cluster to achieve better load balancing effects. In addition, the packet loss rate of the Zigbee protocol used by the IoT gateway in the SCI system is far below the 0.1% indicator, and the delay is less than 10 ms. Therefore, the SCI system constructed by this study shows low latency and high utilization rate, which can provide experimental reference for the later construction of smart city.

The Dual Role of Artificial Intelligence in Developing Smart Cities

“…For instance, every time we visit a website, the deployment of cookies on our device makes the website able to recognize us in the future; the simple act of using a cash withdrawal machine triggers a camera that records the movements of the customer; every financial transaction is meticulously recorded and preserved; supermarkets and commercial chains study our shopping habits and propose discounted items according to customers' previous purchases; navigator systems embedded in smartphones will send the users an e-mail with a monthly report about the visited places. IoT has emerged as the technical backbone of the information and communication technology (ICT) current architecture (see [7,32] regarding cloud computing technology). Sensors are the most important components of an IoT system.…”

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“…Proponiendo un algoritmo de optimización multiobjetivo para el método de asignación de recursos de la máquina virtual de computación en la nube (método CC-VMRA), y se analiza y simula la aplicación de la tecnología de computación en la nube y IoT en el sistema de información de la ciudad inteligente para la verificación del rendimiento. Los resultados muestran que el algoritmo de optimización multiobjetivo en el método CC-VMRA puede reducir en gran medida la cantidad de servidores físicos en el sistema SCI (menos de 20), y la varianza no es superior a 0,0024, lo que puede permitir que el clúster de servidores logre mejores efectos de equilibrio de carga (Su, 2021).…”

A feedback-driven brain organoid platform enables automated maintenance and high-resolution neural activity monitoring

“…Addressing this need for an interconnected ecosystem of devices, services, and technologies is possible through designing networks using standards defined by the Internet of Things (IoT). This approach has already impacted wearables ( 23 ), agriculture ( 24 ), city infrastructure ( 25 ), security ( 26 ), and healthcare ( 27 ). It was recently proposed to expand this approach to biology research ( 28 ).…”