Back Propagation Neural Network Based Data Adaptive Storage Method for Heterogeneous Storage Systems

被引：0
|
作者：
Fu, Ying-Xun [1 ]
Wen, Shi-Lin [1 ]
Ma, Li [1 ]
机构：
[1] North China Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China
来源：
2018 4TH ANNUAL INTERNATIONAL CONFERENCE ON NETWORK AND INFORMATION SYSTEMS FOR COMPUTERS (ICNISC 2018) | 2018年
基金：
中国国家自然科学基金;
关键词：
BP neural network; hot value; heterogeneous devices;
D O I：
10.1109/ICNISC.2018.00061
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Heterogeneous storage devices are commonly used in nowadays storage systems. In this paper, we propose a new Back Propagation neural network based Data adaptively storing Method (BPDM), in order to adapt the heterogeneous devices by storing the frequently accessed data in immediate future in fast devices as much as possible. The experiment results show that BPDM performs well on heterogeneous devices based storage systems. In statistic, BPDM gains up to 33.2% and 49.8% less average responding time and average serving time compared to other existing methods.
引用
收藏
页码：269 / 272
页数：4
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