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Memory management in worm simulation based on small object memory allocation technique on the GTNetS

  • LIU Tao ,
  • NIE Xiao-Feng ,
  • JING Ji-Wu ,
  • WANG Yue-Wu
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  • State Key Laboratory of Information Security, Graduate University, Chinese Academy of Sciences, Beijing 100049, China

Received date: 2010-08-12

  Revised date: 2011-02-18

  Online published: 2012-01-15

Abstract

Considering that most objects in worm simulation based on GTNetS are small objects, we carry out a study on the memory management of the GTNetS and propose the small object memory allocation technique. The experimental results show that the small object memory allocation technique can significantly reduce the peak memory usage in worm simulation and hence improves the simulation scalability and efficiency.

Cite this article

LIU Tao , NIE Xiao-Feng , JING Ji-Wu , WANG Yue-Wu . Memory management in worm simulation based on small object memory allocation technique on the GTNetS[J]. Journal of University of Chinese Academy of Sciences, 2012 , 29(1) : 131 -135 . DOI: 10.7523/j.issn.2095-6134.2012.1.019

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