Optimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm

被引：0

作者：

Liu, Feng ^{[1
,2
,3
]}

Wu, Haitao ^{[1
,3
]}

Lu, Xiaochun ^{[1
,3
]}

Liu, Xiyang ^{[4
]}

机构：

[1] Chinese Acad Sci, Natl Time Serv Ctr, 3 East Shuyuan Rd, Xian 710600, Shaanxi, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[3] Chinese Acad Sci, Key Lab Precis Nav & Timing Technol, Xian 710600, Shaanxi, Peoples R China

[4] Xidian Univ, Xian 710071, Peoples R China

来源：

INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING | 2014年 / 7卷 / 06期

关键词：

Cloud storage; multi-objective optimization model; genetic algorithm; reliable storage;

D O I：

10.14257/ijgdc.2014.7.6.14

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Massive data storage is one of the great challenges for cloud computing service, and reliable storage of sensitive data directly affects quality of storage service. In this paper, based on analysis of data storage process in cloud environment, the cost of massive data storage is considered to be comprised of data storage price, data migration and communication; and the storage reliability consists of data transmission reliability and hardware dependability. A multi-objective optimization model for reliable massive storage is proposed, in which storage cost and reliability are the objectives. Then, a genetic algorithm for solving the model is designed. Finally, experimental results indicate that the proposed model is positive and effective.

引用

页码：175 / 190

页数：16

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