Title :
Research and Design of Electric Power Private Cloud Data Storage Model
Author :
Su, Linping ; Li, Lin ; Zhang, Lu ; Nie, Xiaoqian
Author_Institution :
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
With the rapid development of cloud computing technology, the concept of cloud storage application appears. Faced with the unusually large amount of data in the electric power information system and the insufficient data redundancy because of storage space, searching data resources quickly and reducing storage costs become an inevitable need. In this article, the data storage technology based on cloud computing will be discussed. I will give the private cloud model of the power companies, research and design a five-story model of the data storage power private cloud and analysis the model´s data security briefly to enhance data´s flexibility and reliability.
Keywords :
cloud computing; cost reduction; data privacy; electricity supply industry; information systems; power engineering computing; redundancy; security of data; storage management; cloud computing; data flexibility; data redundancy; data reliability; data resource search; data security; electric power information system; electric power private cloud data storage model design; five-story model; power companies; storage cost reduction; storage space; Cloud computing; Computational modeling; Data models; Memory; Power systems; Servers; data; power private cloud; security; storage;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.221
