Title: Research on end-edge-cloud collaborative model of smart home system

Authors: Shun-Kai Lu; Bao-Chuan Fu

Addresses: School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China ' School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China; Key Laboratory of Building Smart Energy Saving of Jiangsu Province, Harbin 150001, China; Suzhou Smart City Research Institute, Suzhou 215009, China

Abstract: By introducing edge computing technology, an end-to-end cloud collaborative task scheduling model is built to provide computing power support for smart home systems. With the purpose of increasing the utilisation rate of edge nodes and sharing the cloud computing pressure as well as meeting the demand of users for time delay as the constraint condition, tasks generated by users are analysed and offloaded to each edge node and cloud according to greedy algorithm. The edge nodes are pre-graded to reduce the global neglect of greedy algorithm when it comes to local optimal solution. The optimisation of setting edge node pair to reduce cloud platform pressure and edge node hierarchical offloading compared with traditional computing mode is verified by simulation.

Keywords: edge computing; time delay; smart home; cloud computing.

DOI: 10.1504/IJSPM.2022.131554

International Journal of Simulation and Process Modelling, 2022 Vol.19 No.3/4, pp.113 - 121

Received: 23 Apr 2022
Received in revised form: 26 Sep 2022
Accepted: 05 Oct 2022
Published online: 19 Jun 2023 *

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