基于物联网技术的异构集群动态负载均衡算法

为提高异构集群的动态负载均衡性，引入物联网技术中的传感技术构建异构集群信道传输模型，然后采用动态加权方法配置输出信道，并完成对信道特征的分解；在建立信道模糊重组结构模型的基础上，采用噪声干扰抑制方法对异构集群通信信道进行多径干扰抑制，并结合波特间隔均衡采样方法控制信道输出的均衡性，通过模糊度均衡配置和空间均衡调度过程实现对异构集群动态负载的均衡处理。仿真结果表明，采用该方法进行异构集群负载调度的均衡性较好，可降低输出信号的误码率，提高异构集群的输出均衡性和自适应控制能力。

Dynamic Load Balancing Algorithm for Heterogeneous Clusters Based on Internet of Things Technology

In order to improve the dynamic load balance of heterogeneous clusters, the sensor technology in the Internet of things technology is introduced to construct a channel transmission model of heterogeneous clusters, and then the output channel is configured by dynamic weighting method, and the channel characteristics are decomposed. On the basis of establishing the channel fuzzy reorganization structure model, the noise interference suppression method is used to suppress the multipath interference of heterogeneous cluster communication channel. Combining with baud interval balanced sampling method to control the balance of channel output, the dynamic load balancing of heterogeneous cluster is realized through ambiguity balanced configuration and space balanced scheduling process. The simulation results show that the load scheduling of heterogeneous clusters is well balanced, the bit error rate of output signals is reduced, and the output balance and adaptive control ability of heterogeneous clusters are improved.