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

Sabyrzhan K. Atanov, Zhexen Y. Seitbattalov, Zhanar S. Moldabayeva

2021

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DOI 10.1109/icecco53203.2021.9663797
Data confidence 70 medium
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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.