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

Abstract

Abstract: 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.

Key words: internet of things technology, sensor technology, heterogeneous cluster, load balancing, transmission channel, multipath interference suppression

LI Juan. Dynamic Load Balancing Algorithm for Heterogeneous Clusters Based on Internet of Things Technology#br#[J]. Computer and Modernization, 2021, 0(04): 104-108.

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

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