Title: Heuristic scheduling algorithm for hybrid storage data in the cloud computing environment

Authors: Dawei Luo; Jinming Liu; Zhihong Xin

Addresses: College of Information Technology, Jilin Technology College of Electronic Information, Jilin 132021, China ' College of Information Technology, Jilin Technology College of Electronic Information, Jilin 132021, China ' Xi'an Medical University, Xi'an 710021, China

Abstract: In the optimisation design of hybrid cloud storage data in the cloud computing environment, it is required to perform heuristic scheduling to data and to improve the ability to send and receive cloud storage data, so a heuristic scheduling algorithm for hybrid storage data in the cloud computing environment based on correlation spectral density feature extraction is proposed. In this algorithm, a distributed structure data model of hybrid storage data in the cloud computing environment is built and adaptive link forwarding control is designed for big data in cloud storage space. Simulation results show that in heuristic scheduling of hybrid storage data in the cloud computing environment, this method can improve the data storage throughput performance and provide good balance of data storage and high fidelity.

Keywords: cloud computing environment; hybrid storage data; heuristic scheduling; feature extraction; spectral analysis.

DOI: 10.1504/IJIPT.2020.107971

International Journal of Internet Protocol Technology, 2020 Vol.13 No.3, pp.131 - 136

Received: 23 Nov 2018
Accepted: 27 Feb 2019
Published online: 01 Jul 2020 *

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