Development an Intelligent Task Offloading System for Edge-Cloud Computing Paradigm

S. Atanov, Zhexen Y. Seitbattalov, Zhanar S. Moldabayeva
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引用次数: 5

Abstract

This paper presents a task offloading system based on fuzzy logic for Edge-Cloud servers. The designed model in the Toolbox of MATLAB focuses on collecting data, which user receives from computing network: task length, virtual machine utilization, delay sensitivity, network demand and energy consumption. The aims of the research are reducing network latency and optimizing the energy efficient of edge device. As a result designed model proposes an optimal resources and choice of computing network between cloud, fog and edge for solving task.
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基于边缘云计算范式的智能任务卸载系统的开发
提出了一种基于模糊逻辑的边缘云服务器任务卸载系统。在MATLAB的工具箱中设计的模型主要是收集用户从计算网络中接收到的数据:任务长度、虚拟机利用率、延迟灵敏度、网络需求和能耗。研究的目的是减少网络延迟和优化边缘设备的能源效率。设计的模型在云、雾和边缘之间提出了求解任务的最优资源和计算网络选择。
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