面向低能耗电源管理的集装箱化集成快速物联网平台

Mohammadreza Parvizimosaed, M. Noei, Mohammadmostafa Yalpanian, Javad Bahrami
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引用次数: 5

摘要

物联网(IoT)包括将应用程序和智能设备结合在一起以构建生态系统的技术。物联网已经影响了通信和信息世界。物联网面临的挑战包括连接设备数量多、设备异构、时延、高可用性、通信安全性、时延等。物联网平台集成了设备、用户和应用程序来应对这些挑战。在本文中,我们设计了一个物联网平台,并根据吞吐量、内存和CPU使用率以及响应时间与相关工作进行了比较。该方法的体系结构是模块化的。因此,灵活性和可伸缩性将得到提高,因为每个模块都可以删除或添加到体系结构中。公共云提出一般服务,但是所提出的方法是基于客户需要的特定于应用程序的。该方法的新颖之处在于以系统中的设备管理和用户管理为模块。该方法的另一个新颖之处在于使用TDengine作为平台的数据库。因此,通过使用TDengine作为数据库,在系统中使用用户管理和设备管理,可以降低延迟,因为延迟是电力能源的重要挑战。当我们制作平台时,它可以在边缘层中使用,因为我们可以添加所需的每个模块。该平台在不同的场景下进行了测试和部署,实现表明我们的方法的资源利用率和性能优于相关工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Containerized Integrated Fast IoT Platform for Low Energy Power Management
Internet of Things (IoT) includes technologies that fit applications and smart devices together to build an ecosystem. IoT has influenced the communication and information world. A large number of connected devices, connected devices heterogeneity, latency, high availability, the security of communication, and latency are IoT challenges. IoT platforms integrate devices, users, and applications to tackle these challenges. In this paper, we design an IoT platform and compare it to the related work based on throughput, memory and CPU usage, and response time. The architecture of the proposed method is modular. Thus, flexibility and scalability will be increased because each module can be removed or added to the architecture. Public cloud proposes general services, but the proposed method is application-specific based on what the customers need. The proposed method’s novelty is using device management and user management in the system as the module. Another novelty of the proposed method is using TDengine as the database for the platform. Thus, by using TDengine as a database and using user management and device management in the system, latency will be reduced as latency is an important challenge in power energy. As we make the platform, it can be used in the edge layer because we can add each module needed. The platform is tested and deployed on different scenarios, and the implementation shows that our method’s resource usage and performance are better than the related work.
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