基于数据关联度的迁移策略研究

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.

Research on Data Migration Strategy Based on Data Relevance

Based on the E-government cloud storage environment as the background, analyzed the basic factors used for the existing migration algorithms, including static factors and dynamic factors. Introduced the data relevance as a new factor in the calculation of the migration function of M (d) values. After obtaining the new data migration function, according to a hybrid cloud migration algorithm to design a new cloud storage for e-government migration strategy. The new strategy not only improves the expected migration value, but also reduces the cost of data management. There will be a certain reference values for companies or the relevant departments who are preparing for using a cloud storage to manage large data.