An Improved k-Means Methods for Cloud Computing based Coding Big Data Environment

With the popularity of cloud computing and big data techniques, the coding environment has been integrated into a big data environment based on cloud computing. In order to better handle the coding data in the cloud computing based big data environment, there are two main problems should be solved. One problem is that the tasks' quantities cannot be met by the traditional one-dimensional search algorithm. The other problem is that different tasks have different requirements. Then, in this paper, a new clustering algorithm in the coding big data environment is proposed. Firstly, the clustering is added to the big data environment and use the clustering to deal with the code nodes in the big data environment. Secondly, different weights are assigned to different tasks to achieve efficient scheduling of the big data environment.