Journal of South China University of Technology (Natural Science Edition) ›› 2013, Vol. 41 ›› Issue (9): 82-86.doi: 10.3969/j.issn.1000-565X.2013.09.014

• Computer Science & Technology • Previous Articles     Next Articles

Goal Prediction- Based Dead Reckoning Algorithm on ROIA Cloud Platform

Liu Dong1,2 Zhao Yue- long1 Zeng Wen- ying1,3   

  1. 1.School of Computer Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China;2.Department of Computer Science,Jinan University,Guangzhou 510632,Guangdong,China;3.Computer Engineering Technical College,Guangdong Institute of Science and Technology,Zhuhai 519090,Guangdong,China
  • Received:2012-10-16 Revised:2013-03-05 Online:2013-09-25 Published:2013-08-01
  • Contact: 刘冬(1975-)，男，在职博士生，暨南大学讲师，主要从事云计算、海量存储系统研究． E-mail:wze2k@163.com
  • About author:刘冬(1975-)，男，在职博士生，暨南大学讲师，主要从事云计算、海量存储系统研究．
  • Supported by:

    广东省科技计划项目(2010B060100056);广东省自然科学基金资助项目(S2012010008831);广州市科技计划项目(2010Y0- C681)

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Abstract:

In order to improve the prediction accuracy of the dead reckoning (DR) algorithm,an improved DR algorithm is proposed based on goal prediction.The algorithm first predicts the goal of avatar according to the calcu-lated attractiveness degrees of materials to avatar,and then calculates its trajectory by combining the actual move-ment.Simulation results show that the improved DR algorithm is superior to the traditional DR algorithm in terms of prediction accuracy,and that it provides a reference for the construction of the ROIA (Real- time Online Interactive Application) cloud platform.

Key words: cloud computing, real- time online interactive application, dead reckoning algorithm, goal prediction

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