The motive for constructing a high level data model on cloud databases
Jianying Zhang, Hongbo Liu, Hong Ying Yu · 2012
When traditional database theories applied to large scale computing environments like cloud computing, difficulties encountered in many aspects, such as ACID transaction, closed-world assumption, data consistency, security, and scalability. In this paper, on the basis of analyzing the limitation of closed world assumption for massively computing environments, and from the viewpoint of complex giant system, a high level data model of relational database outlining a solution to large scale computing environments is proposed, in which semantic clusters of data, called data multitrees are taken as distribution units. We mainly investigate the motive for constructing such a data model, and briefly introduce the model to make the paper complete.