摘要
现有负载均衡算法难以适应蜜场环境下网络流量具有突发性强、流量大等特点。分析了当前流行的几种基本负载均衡算法,提出了一种面向蜜场环境的负载均衡算法,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。
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 Balancing algorithnl towards the Honey Farm environment(LBHF) which includes an allocation strategy of warning convergent flow, a active feedback strategy of pre-emptive type and dynamic adjustment strategy of waiting queue based on queuing model.
出处
《网络安全技术与应用》
2013年第10期44-45,共2页
Network Security Technology & Application
关键词
负载均衡
预警收敛
主动反馈
排队模型
load balancer
warning convergent
pre-emptive type
waiting queue