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A Multi-agent Based Flexible IoT Edge Computing Architecture and Application to ITS

机译:基于多主体的灵活物联网边缘计算架构及其在ITS中的应用

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摘要

On a large-scale IoT system based on cloud computing, problems such as increase of network load, delay in response, invasion of privacy, are concerned in recent years. As a solution to this problem, edge computing has introduced to the IoT systems. However, if you migrate the cloud function to the edge too much, the collected data cannot be shared between IoT systems and this decreases the usefulness of the IoT system. In this paper, a multi-agent based flexible IoT edge computing architecture is proposed to balance global optimization by a cloud and local optimization by edges and to optimize the role of the cloud server and the edge servers dynamically. Also, as its application example, a parking search system example based on the proposed edge computing system architecture is shown to show the effectiveness.
机译:近年来,在基于云计算的大规模物联网系统上,网络负荷增加,响应延迟,隐私入侵等问题受到关注。作为此问题的解决方案,边缘计算已引入物联网系统。但是,如果将云功能过多地迁移到边缘,则无法在IoT系统之间共享收集的数据,这会降低IoT系统的实用性。本文提出了一种基于多代理的灵活物联网边缘计算架构,以平衡云的全局优化和边缘的局部优化之间的关系,并动态优化云服务器和边缘服务器的角色。另外,作为其应用示例,基于所提出的边缘计算系统架构的停车搜索系统示例也显示出了有效性。

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