Survey of Large-Scale Data Management Systems for Big Data Applications-Reference-Cited by-同舟云学术

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Survey of Large-Scale Data Management Systems for Big Data Applications

Published:2015-01 Issue:1 Volume:30 Page:163-183
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Wu Lengdong,Yuan Liyan,You Jiahuai

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11390-015-1511-8.pdf

Reference85 articles.

1. Agrawal D, Das S, Abbadi A. Big data and cloud computing: Current state and future opportunities. In Proc. the 14th International Conference on Extending Database Technology, March 2011, pp.530-533.

2. Glogor G, Silviu T. Oracle Exalytics: Engineered for speed of-thought analytics. Database Systems Journal, 2011, 2(4): 3-8.

3. Campbell D, Kakivaya G, Ellis N. Extreme scale with full SQL language support in Microsoft SQL Azure. In Proc. the 2010 ACM SIGMOD International Conference on Management of Data, June 2010, pp.1021-1024.

4. Yuan L, Wu L, You J, Chi Y. Rubato DB: A highly scalable staged grid database system for OLTP and big data applications. In Proc. the 23rd ACM International Conference on Information and Knowledge Management, November 2014, pp.1-10.

5. Kallman R, Kimura H, Natkins J et al. H-store: A high performance, distributed main memory transaction processing system. In Proc. the 34th International Conference on Very Large Data Bases, August 2008, pp.1496-1499.

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