A Dynamic Weights Consistent Hashing Load Balancing Method Based on Heuristic Optimization

Chen Wang, Yingzheng Chen, Jingfeng Wang, Baocheng Wang · 2023

With the increasing scale of distributed systems, Load balancing becomes a key issue to ensure system performance and scalability. However, load balancing has some limitations in dynamic environment, and it is difficult to adapt to the real-time changes of node load. In order to solve this problem, this paper -roposes a dynamic weight consistent hashing load balancing method based on heuristic optimization. The weight allocation strategy of nodes is adjusted in real time by heuristic optimization algorithm, and this strategy is further combined with consistent hashing algorithm to achieve more balanced and efficient load distribution. The experimental results show that compared with the traditional static weight distribution and other dynamic load balancing methods, the improved load balancing strategy can better adapt to the real-time changes of node load, and improve the response time and throughput of the system, which provides an efficient and innovative solution for solving the problem of dynamic load balancing.

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