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Co-simulation Based Finite State Machine for Telematic and Data Compression Microservices in IoT

机译:基于联合仿真的IOT中远程电视和数据压缩微服务的有限状态机

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摘要

Despite the wide adoption of Internet of things (IoT) with several webs standards and cloud technologies; building of city wide IoT based smart city platform for solving transportation problem remains a daunting task. Owing to the dynamic nature of IoT and components of transportation systems, smart city architecture would require development of a scalable, distributed and evolving architecture on the web. With the advancement in autonomous transportation system there is a need for in adaptive module in telematic system for compressing the huge volume of commands and co-simulation mechanism to communicate with other sensor nodes etc. As IoT based microservices have special requirements of which are related to the size and type of information to be exchanged between end to end devices and the control centre. By the time the data makes its way to the cloud for analysis, the opportunity to act on it might be gone. Thus handling such huge streams of data on the fly is a daunting task. In this study we present a method for simultaneous co-simulation and run length encoding based compression for a wide network of mobile IoT framework running multimedia microservices based telematic system.
机译:尽管有多种网标准和云技术的东西互联网(物联网);基于City的City基于IOT的智能城市平台解决运输问题仍然是一个艰巨的任务。由于传输系统的IOT和组件的动态性质,智能城市架构需要在Web上开发可扩展,分布式和不断变化的架构。随着自主运输系统的进步,需要在远程系统中的自适应模块中,用于压缩大量的命令和共模机制,以与其他传感器节点等通信。随着基于物联网的微服务具有与之相关的特殊要求结束到终端设备和控制中心之间的信息的大小和类型。当数据进入云进行分析时,机会采取行动可能会消失。从而处理这类巨大的数据流是一种艰巨的任务。在本研究中,我们介绍了一种用于基于多媒体微服务的移动物联网框架的广泛网络的基于仿真和运行长度编码的方法。

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