基于多Agent技术的多运营终端自适应负载均衡算法

Adaptive Load Balancing Algorithm of Multi-operation Terminal Based on Multi-Agent Technology

当前网络用户数量、多运营终端节点数量增长趋势明显,导致网络计算资源很难达到均衡状态。提出基于多Agent技术的多运营终端自适应负载均衡算法。定义多运营终端负载状态,采集多运营终端负载信息,并量化处理负载信息。以此为基础,搭建Agent负载均衡结构,引入多Agent技术,结合多运营终端节点工作特点,构建网络资源模型,设计多运营终端自适应负载均衡算法。实验结果证明:与对比算法相比,应用提出算法获得的多运营终端的吞吐量较大,平均响应延迟较短,负载均衡度较高,证实了提出算法具有理想的负载均衡效果。

At present, the number of network users and the number of multi operation terminal nodes have an obvious growth trend, which makes it difficult for network computing resources to reach a balanced state. An adaptive load balancing algorithm for multi operator terminals based on multi-agent technology is proposed. Define the load status of multiple operation terminals, collect the load information of multiple operation terminals, and quantify and process the load information. On this basis, build the agent load balancing structure, introduce multi-agent technology, combined with the working characteristics of multi operation terminal nodes, build the network resource model, and design the multi operation terminal adaptive load balancing algorithm. The experimental results show that compared with the comparison algorithm, the throughput of multi operation terminals obtained by the proposed algorithm is larger, the average response delay is shorter, and the load balancing degree is higher, which proves that the proposed algorithm has an ideal load balancing effect.