蜜罐服务的负载均衡是保障蜜场系统稳定运行的关键技术之一.蜜场环境下网络流量具有突发性强、流量大等特点,现有负载均衡算法往往需要动态且频繁地查询采集服务器的负载信息,会增加大量额外的开销.本文提出了一种面向蜜场环境的负载均衡算法(a load balanc algorithm towards the Honey farm environment,LBHF),该算法通过设计预警收敛流量分配策略、主动抢占式反馈策略以及基于排队模型的等待队列动态调整策略,有效地实现了蜜场环境下的负载均衡.实验结果显示,与Pick-KX算法相比LBHF具有良好的性能表现.
The load balancing in honeypot services is one of the key technologies for the stability of honey farm system.Because the features of the randomness and the high throughput in the honey farm environment,the existed schemes usually need to collect the load information of servers dynamically and frequently.This paper proposes a Load Balanc algorithm towards the Honey Farm environment(LBHF)which includes an allocation strategy of warning convergent flow,an active feedback strategy of pre-emptive type and dynamic adjustment strategy of waiting queue based on queuing model.Finally,the experiments present the good performance of LBHF.