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LIU Miao, LIU Shuai, FU Weina, ZHOU Jiantao. Distributional Escape Time Algorithm Based on Generalized Fractal Sets in Cloud Environment[J]. Chinese Journal of Electronics, 2015, 24(1): 124-127.
Citation: LIU Miao, LIU Shuai, FU Weina, ZHOU Jiantao. Distributional Escape Time Algorithm Based on Generalized Fractal Sets in Cloud Environment[J]. Chinese Journal of Electronics, 2015, 24(1): 124-127.
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Distributional Escape Time Algorithm Based on Generalized Fractal Sets in Cloud Environment

  • 1.

    College of Computer Science and Technology, Jilin University, Changchun 130012, China;

  • 2.

    College of Computer, Inner Mongolia University, Hohhot 010012, China;

  • 3.

    School of Physical Science and Technology, Inner Mongolia University, Hohhot 010012, China

Funds: This work is supported by grants Programs of Higher-level Talents of Inner Mongolia University (No.125126, No.115117), Project of Higher School in Inner Mongolia (No.NJZY13004), National Natural Science Foundation of Inner Mongolia (No.2014BS0606), Key Project of Chinese Ministry of Education (No.212025), Inner Mongolia Science Foundation for Distinguished Young Scholars (No.2012JQ03), Science and Technology Development Plan of Jilin Province (No.20130101047JC), National Natural Science Foundation of China (No.61261019, No.61262082, No.31160253, No.31360289, No.61300146).
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  • Corresponding author:

    LIU Shuai born in 1982, Ph.D. and associate professor. His interesting area contains pattern recognition, chaotic system and applied mathematics. (Email: cs_liushuai@imu.edu.cn)

  • Received Date: April 30, 2013
  • Revised Date: May 31, 2013
  • Published Date: January 09, 2015
    Graphical Abstract
    • Abstract
  • Since fractal is widely used in all science domains today, escape time algorithm, which is the most effective algorithm in drawing fractal figures, shows negatively when generation function is complex. In this paper, we improve classic escape time algorithm into cloud environment to improve its performance. At first, we provide a separation method of escape algorithm in cloud environment. Then we calculate complexity of the novel algorithm with a probability model based on allocation policy. At last, we use generalized fractal sets as experimental subjects to validate our conclusion. Experimental results show correctness and rapidness of the novel algorithm.
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    • References (14)
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