Abstract
With the gradual increase of user visits in the power Internet of Things, load imbalances often appear, affecting server operation efficiency. This article is an improvement based on the weighted minimum number of connections algorithm. It sets weights for a group of servers and proposes two reference values: range and variance, and sets corresponding thresholds. Only the servers that exceed the threshold are used for the following operations. All data use re-hashing to deal with conflicts, and this process is repeated until an idle server is found to process the data. The simulation results show that the improved algorithm can effectively balance the user's task requests, realize the entire system's load balance, have good stability, and achieve the expected effect.
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Acknowledgment
This work is supported by the Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd. under Grant No. J2020068.
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Zhang, M., Mao, J., Chen, L., Li, N., Fan, L., Shuang, L. (2021). A Load-Balancing Algorithm for Power Internet of Things Resources Based on the Improved Weighted Minimum Number of Connections. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12737. Springer, Cham. https://doi.org/10.1007/978-3-030-78612-0_45
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DOI: https://doi.org/10.1007/978-3-030-78612-0_45
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