NDLI: The motive for constructing a high level data model on cloud databases

Content Provider	IEEE Xplore Digital Library
Author	Jianying Zhang Hongbo Liu Hong Yu
Copyright Year	2012
Description	Author affiliation: School of Computer Science and Engineering, Dalian University of Technology, Dalian 116023, China (Jianying Zhang) \|\| School of Information Science and Technology, Dalian Maritime University, Dalian 116023, China (Hongbo Liu) \|\| College of Information Engineering, Dalian Ocean University, Dalian 116023, China (Hong Yu)
Abstract	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.
Starting Page	1198
Ending Page	1203
File Size	178343
Page Count	6
File Format	PDF
ISBN	9781467348065
e-ISBN	9781467348058
DOI	10.1109/WICT.2012.6409257
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud database Scalability Distributed databases Relational databases Multitree Data distribution Data models Data systems Servers Multi-hierarchical model
Content Type	Text
Resource Type	Article

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