Research on the Heat Dissipation Problem of Subsea Data Center Using Entropy-Weighted TOPSIS Method

作者：Pengcheng Xie, Xinhao Guo, Yuhui Zhang, Xiaolong Wang, Fubin Zhang · 发表于：2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) · 年份：2022 · DOI：10.1109/icedcs57360.2022.00046 · 被引用次数：1 · 研究领域：Distributed and Parallel Computing Systems、Cloud Computing and Resource Management、Reservoir Engineering and Simulation Methods

In this paper, by using physical analysis and mathematical statistics methods, we analyze the problems existing in the heat dissipation system of the subsea data center and propose a scheme to optimize the heat dissipation structure of the data center. Specifically, we established a single-objective integer programming heat dissipation model, and secondly, the established multi-objective programming model was studied using the hierarchical sequence method. Finally, based on the TOPSIS method of entropy weight, we established the heat dissipation analysis model of the subsea data center.