基于小型对象分配技术的GTNetS蠕虫仿真内存管理

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

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.

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.