摘要
以电子政务云存储环境为背景,研究了已有迁移算法中用到的基本迁移因子,包括静态因素和动态因素.在计算迁移函数的M(d)值时引入数据关联度这一新的因子.得出新的数据迁移函数后,根据混合云的迁移算法设计出新的适合于电子政务云存储的迁移策略.新策略提高了数据的预计迁移值,降低大数据管理成本,对于准备采用云存储管理大数据的企业或相关部门有一定的参考价值.
Based on the e-government cloud storage environment as the background, the basic factors used for the existing migration algorithms are analyzed, including static factors and dynamic factors. The data relevance as a new factor in the calculation of the migration function of M（d） values is introduced. After obtaining the new data migration function, according to a hybrid cloud migration algorithm, a new migration strategy for e-government cloud storage is designed. The new strategy not only improves the expected migration value, but also reduces the cost of data management. The study provides certain guidelines for companies or the relevant departments who are preparing for using cloud storage to manage big data.
出处
《华南师范大学学报（自然科学版）》
CAS
北大核心
2015年第6期116-120,共5页
Journal of South China Normal University(Natural Science Edition)
基金
教育部-中移动基金项目(MCM20130651)
广州市科技和信息化局基金项目(2014Y2-00006)
关键词
电子政务云
数据迁移
迁移策略
数据关联度
管理成本
e-government cloud
data migration
migration strategy
data relevance
the cost of management
