An Evaluation Method of Data Valuation Based on Analytic Hierarchy Process

被引：4
|
作者：
Qiu, Shaoming [1 ]
Du, Xiuli [1 ]
Zhang, Dong [1 ]
机构：
[1] Dalian Univ, Coll Informat Engn, Dalian, Peoples R China
来源：
2017 14TH INTERNATIONAL SYMPOSIUM ON PERVASIVE SYSTEMS, ALGORITHMS AND NETWORKS & 2017 11TH INTERNATIONAL CONFERENCE ON FRONTIER OF COMPUTER SCIENCE AND TECHNOLOGY & 2017 THIRD INTERNATIONAL SYMPOSIUM OF CREATIVE COMPUTING (ISPAN-FCST-ISCC) | 2017年
关键词：
Data value degree; hierarchical storage; data migration; analytic hierarchy process(AHP);
D O I：
10.1109/ISPAN-FCST-ISCC.2017.21
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In the data migration study, in order to make migration efficient, accurately measuring the value of data is useful. Aiming at the problem that the existing data value measure method can not describe the true value of data accurately, this paper presents a new evaluation method of data value. The algorithm not only considers the size of the data, access time, file content, data read and write frequency and access, while taking into account the importance of the data and the possibility of being accessed over time. We use analytic hierarchy process to weight the value of data attribute and get the quantization formula of data value. The results show that this algorithm can express the value of data more accurately, which improves the data access hit rate of the storage system.
引用
收藏
页码：524 / 528
页数：5
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