A Novel Approach to Improve the Scalability of the Relational Model
Nowadays, the relation model faces the chaUenge of being applied to massively distributed databases and cloud databases. It can not be easily scaled out in such computing environments. The main reason is lack of a proper data distribution unit and a uniform data distribution model. In this paper, a new data distribution model is proposed. As semantic clusters of data, data multitrees are taken as the distribution units. Schema multitree and data multitree are defined, and then a method of designing the schema graph is proposed to ensure that the data graph is a data multitree. Three theorems proved the correctness of the proposed method. Since relational databases can be viewed as data multitrees, the sematic related data can be split or unified together easily with multiree operations, the scalability of relational model can be improved. In addition, this data distribution model to transparent to programmers.
relational model multitree data distribution multi-hierarchical model cloud DB
Jianying Zhang Xiukun Wang Hong Yu
School of Computer Dalian University of Technology Dalian, China Department of Computer Science Dalian Fisheries University Dalian, China
国际会议
2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)
昆明
英文
349-353
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）