Simulation of medium and long term vector data partition scheduling in power selling side based on improved weighted rough set

Xiaowei Wang; Tianyang Xu; Xiaowen Wu; Chunyang Lu; Huijuan Cheng

doi:10.1117/12.3033146

5 July 2024 Simulation of medium and long term vector data partition scheduling in power selling side based on improved weighted rough set

Xiaowei Wang, Tianyang Xu, Xiaowen Wu, Chunyang Lu, Huijuan Cheng

Author Affiliations +

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 1318446 (2024) https://doi.org/10.1117/12.3033146
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Aiming at the problems of easy loss, indistinguishability, and low scheduling efficiency of medium and long-term vector data, a partition scheduling method for medium and long-term vector data based on improved weighted rough sets is designed. Calculate the discreteness of the dataset and load balancing of the dataset, and establish a data offset model based on an improved weighted rough set; Calculate the number of key value pairs in the core area through compensation coefficients and the partition granularity of vector data; Design a vector data partitioning scheduling method based on a dynamic allocation model. Through simulation analysis, it was found that its proportion in the light load stage is generally above 50%, and the maximum packet loss rate does not exceed 1%. Throughout the simulation phase, the average delay of this method is less than 2.5 × 104 ms indicates that the improved weighted rough set algorithm scheduling method can ensure the completion of data, with high scheduling efficiency and good partition scheduling performance for vector data.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaowei Wang, Tianyang Xu, Xiaowen Wu, Chunyang Lu, and Huijuan Cheng "Simulation of medium and long term vector data partition scheduling in power selling side based on improved weighted rough set", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 1318446 (5 July 2024); https://doi.org/10.1117/12.3033146

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