NDLI: Partition-based data cube storage and parallel queries for cloud computing

Content Provider	IEEE Xplore Digital Library
Author	Ping Ren Wu Liu Donghong Sun
Copyright Year	2013
Description	Author affiliation: Coll. of Math. Sci., Chongqing Normal Univ., Chongqing, China (Ping Ren) \|\| Network Res. Center, Tsinghua Univ., Beijing, China (Wu Liu; Donghong Sun)
Abstract	Data security is a necessary condition whether cloud computing system can be applied in practice. Users are concerned about whether the data stored in the cloud will be divulged to third parties. As the cloud computing system is applicable for decision support applications, this paper focuses on analysis of data partition in the cloud computing environment to ensure the security of decision supported data integrity. This paper proposes a model for partition-based decision data storage and query technology in cloud. This model can be used for decision support data storage and processing. In order to achieve data integrity protection, user's data is divided and stored in different cloud servers to achieve physical isolation and to ensure that the data cannot be fully disclosed. This paper presents two algorithms, i.e., one is about partition and storage of data, and the other one is about data query and integration. The query language for this model is analyzed, including SQL and extended SQL (which is named as CSQL in this paper). Finally, this mode is verified by an implemented system.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	1183
Ending Page	1187
File Size	403927
Page Count	5
File Format	PDF
ISBN	9781467347143
ISSN	21579563
DOI	10.1109/ICNC.2013.6818157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Partition Data Integrity Data security Query Servers Fragment Decision SQL Distributed databases Cloud Data models Data Storage
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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