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Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 396387, 15 pages
A Cloud-Computing-Based Data Placement Strategy in High-Speed Railway
1State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
2School of Traffic and Transportation, Beijing JiaoTong University, Beijing 100044, China
Received 28 August 2012; Revised 31 October 2012; Accepted 21 November 2012
Academic Editor: Wuhong Wang
Copyright © 2012 Hanning Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [6 citations]
The following is the list of published articles that have cited the current article.
- Hn Wang Hanning, Wx Xu Weixiang, Jiulin Yang, Lili Wei, and Jl Jia Chaolong, “Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing,” Discrete Dynamics in Nature and Society, 2013.
- Jia Chaolong, Xu Weixiang, Wei Lili, and Wang Hanning, “Study of Railway Track Irregularity Standard Deviation Time Series Based on Data Mining and Linear Model,” Mathematical Problems in Engineering, vol. 2013, pp. 1–12, 2013.
- Hanning Wang, Weixiang Xu, Dongyan Xu, Lili Wei, and Chaolong Jia, “Continuous Distributed Top-k Monitoring over High-Speed Rail Data Stream in Cloud Computing Environment,” Advances in Mechanical Engineering, 2013.
- Chee-Heng Tan, and Ying-Wah Teh, “Secure Hardware Performance Analysis in Virtualized Cloud Environment,” Mathematical Problems in Engineering, vol. 2013, pp. 1–9, 2013.
- Yu-Shuang Dong, Gao-Chao Xu, and Xiao-Dong Fu, “A Distributed Parallel Genetic Algorithm of Placement Strategy for Virtual Machines Deployment on Cloud Platform,” The Scientific World Journal, vol. 2014, pp. 1–12, 2014.
- Qizhou Hu, Ningbo Gao, and Bing Zhang, “High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–10, 2014.