[1]边根庆,王艳云,邵必林,等.基于价值评估的海量数据迁移策略研究[J].西安建筑科技大学学报:自然科学版,2012,44(03):441-445,451.[doi:10.15986/j.1006-7930.2012.03.023]
　BIAN Gen-qing,WANG Yan-yun,SHAO Bi-lin,et al.Study of massive data migration strategy on data evaluation[J].J.Xi’an Univ. of Arch. & Tech.:Natural Science Edition,2012,44(03):441-445,451.[doi:10.15986/j.1006-7930.2012.03.023]
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基于价值评估的海量数据迁移策略研究()
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西安建筑科技大学学报:自然科学版[ISSN:1006-7930/CN:61-1295/TU]

卷:
44
期数:
2012年03期
页码:
441-445,451
栏目:
出版日期:
2012-06-30

文章信息/Info

Title:
Study of massive data migration strategy on data evaluation
文章编号:
1006-7930(2012)03-0441-05
作者:
边根庆1; 王艳云1; 邵必林2; 于泳浩3
(1.西安建筑科技大学信息与控制工程学院,陕西 西安 710055;2.西安建筑科技大学管理工程学院,陕西 西安 710055; 3.南京大学信息管理学院,江苏 南京 210046)
Author(s):
BIAN Gen-qing1;  WANG Yan-yun1;  SHAO Bi-lin2;  YU Yong-hao3
(1.School of Information and Control Engineering, Xian University of Architecture and Technology, Xian 710055, China; 2.School of Management, Xian University of Architecture and Technology, Xian 710055, China; 3.School of Information Management, Nanjing University, Nanjing 210046, China)
关键词:
分级存储管理; 数据迁移技术; 固有属性; 预期价值
Keywords:
HSM;  Data Migration Technology;  Inherent Property;  Expected Value
分类号:
TP309.3
DOI:
10.15986/j.1006-7930.2012.03.023
文献标志码:
A
摘要:
根据分级存储管理HSM(hierarchical storage management)中的数据迁移任务,提出了一种基于价值评估的数据迁移模型.通过按比例计算数据的固有属性和预期价值,可以得到数据价值的精确表达,结合迁移过程控制策略,相应价值的数据将被分配到与其价值相适应的存储设备上.仿真实验结果表明,相对于LRU和LFU,该迁移算法能使绝大多数的访问命中于在线存储设备,并随着访问次数的增加,可以逐步提高算法的精度
Abstract:
According to the importance of data migration in hierarchical storage management (HSM), the paper proposes a data migration model based on data valuation. Calculated in proportion by the inherent properties and the expected value of data, exact expression of the data value can be acquired. Combined with the migration process control strategy, the corresponding value of the data will be assigned to compatible storage device. Simulation results show, compared to LRU and LFU, the migration algorithm can make the vast majority of access hit in the on-line storage devices. With the increase of the number of access, the accuracy of the algorithm can be improved gradually

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2011-09-26  修改稿日期:2012-05-03
基金项目:国家自然科学基金资助项目(61073196);陕西省自然科学基础研究计划项目(2011JM8026);陕西省教育厅自然科学专项基金项目(11JK0982);
作者简介:边根庆(1968-),男,浙江浦江人,副教授,主要研究领域为海量信息处理、信息安全等.
更新日期/Last Update: 2015-09-01