Adaptive Sorting Method of Big Data with Scattered Defects Based on Cloud Computing

In order to better sort the massive scattered defect data and ensure the effect of data processing, an adaptive sorting method based on cloud computing is proposed. In order to improve the convergence of data, multi-objective processing is carried out in the cloud computing environment. Combined with the fuzzy adaptive sorting algorithm, the difference value of multi-objective variation is calculated to achieve the balanced adjustment of variation data. In order to speed up the data convergence, balance the local optimal sorting value, obtain the initial value of scattered defect data, and complete the adaptive sorting of scattered defect big data. Finally, experiments show that the adaptive sorting method based on cloud computing can better repair and accurately sort the scattered data, and improve the data convergence effect.