安全域边界设备是目前使用最多的网络安全设备之一.随着网络数据流量的日益增加,其承受的负载压力也逐渐增大,尤其对处于数据传输枢纽位置的大型信息处理单位而言,仅依靠单台设备已无法满足对大规模数据进行过滤与保护的需求.将安全域边界设备集群化,共同分摊大规模数据包的处理需求,实现数据流的并行分析和处理,以提高该类系统的性能表现已经势在必行.在集群设备的优化技术中,其关键环节就在于负载均衡策略的选择与应用.论文对集群安全与边界设备的负载均衡策略进行研究,提出一种基于动态自适应算法的全新解决方案.经过仿真验证,该策略明显提高了集群系统的数据吞吐量,有效改善了数据处理的效率、可靠性和安全性.%Security domain boundary equipment is one of the most widely used network security devices. With the increase of network traffic,the equipment load pressure is gradually increased. Especially for large information processing unit which is in the position of data transmission hub,this pressure has led to these units have been unable to meet the needs of large scale data filtering and protection by a single device. It is imperative to improve the performance of this kind of system by clustering security domain boundary equipments,sharing the processing requirements for large scale data packets and realizing the parallel analysis and pro?cessing of packets. For the optimization technology of cluster equipment,the key link is the selection and application of load balanc?ing strategy. A new solution based on dynamic adaptive algorithm is proposed in this paper by research on load balancing strategy of cluster security and border equipment. Simulation results show that the proposed method could significantly improve the data throughput of the cluster system and effectively improve the efficiency,reliability and security of data processing.
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