Open Access
MATEC Web of Conferences
Volume 61, 2016
The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
Article Number 07015
Number of page(s) 4
Section Chapter 7 Wireless Communications
Published online 28 June 2016
  1. J Han,M Kamber. Data mining concepts andtechniques[M]. Third Edition. San Francisco, CA, USA: Morgan Kaufmann Publishers, 2012.
  2. Shao feng-jing, Yu zhong-qing. Principle and algorithm of data mining[M].Beijing: Science Press,2009.
  3. Shang Lin, Luo Bin. A data mining system based on Data Warehouse Framework[J]. Application Research of computers, 2000, 17 (9): 63–65.
  4. Yang Yong, Dong zhen-jiang, Lu Ping. With the characteristics of cloud computing service delivery platform and its key technology research [J]. ZTE Communications, 2011, 17 (5): 55–57.
  5. Wu zhu-hua. The analysis of the core technology of cloud computing [M]. Bei Jing: People’s Posts and Telecommunications Press, 2011.
  6. Mell P, Grance T. The NIST Defmition of Cloud Computing [R]. Gaithersburg, MD: National Institute of Standards and Technology, 2011.
  7. Zhang jian-xun, Gu zhi-ming, Zheng chao. Review on research progress of cloud computing. 2010, 27 (2): 429-433.
  8. Chen Quan, Deng qian-ni. Cloud computing and its key technology [J]. The computer applications, 2009,29 (9): 2562–2567. [CrossRef]
  9. Li jian-jiang, Cui jian, Wang pin. Map Reduce parallel programming model of review [J]. Chinese Journal of Electronics, 2011 (11): 2635–2642.
  10. Wang yi-jie, Sun wei-dong, Zhou Song. The key technology of distributed storage in cloud computing environment[J]. Journal of software, 2012, 23 (4): 962. [CrossRef]
  11. Wang Cong, Wang cui-rong, Wang xing-wei. The design of data center network architecture for Cloud Computing [J]. Research and development of computer,2012, 49 (2): 286–293.
  12. Hang He, Yi xiao-dong, Li shan-shan. Realization and evaluation of massive data processing platform for high performance computer [J]. Research and development of computer, 2012, 49: 357–361.

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