Title :
Notice of Retraction
Organization Model of Hybrid Data in the Cloud Storage Node
Author_Institution :
Manage. & Inf. Dept., Zhejiang Inst. of Commun., Hang Zhou, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
By analysis and research on physical storage devices organization strategy and physical storage mechanism that is proper for the migration of data flow in cloud storage node, in order to associate physical storage resources with logical data resources, to become more easy for data flow to flow sustainably and intellectually between data poolings. By establishing organization model of hybrid data and autonomous storage management model to meet demand of continuing availability and data integrity, and, to achieve the ultimate objective that we must strengthen damage restorability of cloud storage system. By analysis on data with sequential and dynamic characteristic, one can make a real-time data predicting service easier to be obtained, under the circumstances that the data set is updated unceasingly.
Keywords :
data analysis; data integrity; storage management; autonomous storage management model; cloud storage node; data analysis; data flow; data integrity; data pooling; hybrid data; logical data resources; organization model; physical storage devices organization strategy; real-time data predicting service; Application software; Clouds; Data analysis; Information analysis; Large-scale systems; Memory; Resource management; Space technology; Technology management; Telecommunication computing;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365778
