Abstract: Aiming at intrusion detection system dynamic load balancing in the high-speed network environment, this paper advances a strategy based on multi-agent load identification and Genetic Algorithms(GA) to improve the dynamic load balancing, achieves the intrusion detection system intelligent load balancing, presents the system corresponding model, and experiments show that the technology can be used to solve the problem of intrusion detection system load balancing in the high-speed network.

Key words: load balancing, Genetic Algorithms(GA), coupling degree, MAS

摘要： 针对在高速网络环境中实现入侵检测系统的动态负载均衡问题，提出一种基于多Agent的负载识别和基于改进遗传算法的动态负载均衡策略，实现入侵检测系统中的智能负载均衡，给出相应的系统模型，并以实验结果证明其有效性。

关键词: 负载均衡, 遗传算法, 耦合度, 多Agent系统

CLC Number: 

• TP309.1