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

被引：0
|
作者：
Luo, Dawei [1 ]
Liu, Jinming [1 ]
Xin, Zhihong [2 ]
机构：
[1] Jilin Technol Coll Elect Informat, Coll Informat Technol, Jilin 132021, Jilin, Peoples R China
[2] Xian Med Univ, Xian 710021, Peoples R China
来源：
INTERNATIONAL JOURNAL OF INTERNET PROTOCOL TECHNOLOGY | 2020年 / 13卷 / 03期
关键词：
cloud computing environment; hybrid storage data; heuristic scheduling; feature extraction; spectral analysis;
D O I：
10.1504/IJIPT.2020.107971
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：131 / 136
页数：6
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