Load Balancing Method for IoT Sensor System Using Multi-access Edge Computing

Ryuta Mogi, T. Nakayama, T. Asaka
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引用次数: 19

Abstract

In recent years, small terminals such as smartphones equipped with various sensor functions have become widespread, and studies on wireless sensor networks and edge computing are advancing from the use of the latest technology such as Internet of Things (IoT) and intelligent transport systems. However, there are still many problems such as cooperation between edges and clouds, off-load, and how to realize orchestration. In addition, research on offloading when load conditions dynamically fluctuate and load balancing among edge servers has not been investigated. In this paper, we propose a load balancing method for an IoT sensor system using multi-access edge computing to equalize the load of edge servers when events such as a traffic congestion and guerrilla rainstorms occur.
基于多址边缘计算的物联网传感器系统负载均衡方法
近年来,配备各种传感器功能的智能手机等小型终端已经普及,无线传感器网络和边缘计算的研究正在从物联网(IoT)和智能交通系统等最新技术的使用中推进。但是,边缘与云之间的协作、卸载、如何实现编排等问题仍然存在。此外,对负载情况动态波动时的卸载和边缘服务器之间的负载均衡问题也没有进行研究。在本文中,我们提出了一种物联网传感器系统的负载平衡方法,该方法使用多访问边缘计算来平衡边缘服务器的负载,当发生交通拥堵和游击暴雨等事件时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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