| 基于小型对象分配技术的 GTNetS蠕虫仿真内存管理 |
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| 作者姓名： | 刘涛 聂晓峰 荆继武 王跃武 |
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| 作者单位： | 中国科学院研究生院信息安全国家重点实验室, 北京 100049 |
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| 基金项目： | 国家自然科学基金(60573015, 70890084),中国博士后科学基金(20080440072)资助 |
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| 摘 要： | 针对蠕虫仿真中大量小型对象的特点,对GTNetS的内存管理机制进行系统研究,提出小型对象内存分配技术.实验结果表明,小型对象分配技术可以有效减少系统的最大内存使用量,进而提高蠕虫仿真的规模和效率.
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| 关 键 词： | 网络蠕虫 仿真 内存管理 小型对象内存分配 |
| 收稿时间： | 2010-08-12 |
| 修稿时间： | 2011-02-18 |
Memory management in worm simulation based on small object memory allocation technique on the GTNetS |
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| Authors: | LIU Tao NIE Xiao-Feng JING Ji-Wu WANG Yue-Wu |
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| Institution: | State Key Laboratory of Information Security, Graduate University, Chinese Academy of Sciences, Beijing 100049, China |
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| 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. |
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| Keywords: | worm simulation memory management small object memory allocation |
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