To solve the fault segmentation of the mean shift segmentation algorithm based on the fixed space and color bandwidth, a mean-shift segmentation algorithm based on the density revise with saliency feature was proposed. A region saliency computing method was firstly proposed on the basis of density estimation of main color quantization. Secondly, region saliency was fused with pixel level saliency as density modifying factor, and the fused image was modified as input for mean-shift segmentation. Finally, the scatter regions were merged to obtain the final segmentation results. The experimental results show that for the truth boundaries, the average precision and recall of the proposed segmentation algorithm are 0.64 and 0.78 in 4 scales. Compared with other methods, the accuracy of the proposed segmentation method is significantly improved. It can effectively improve the integrity of the target and the robustness of natural color image segmentation.

With the popularization of cloud computing technology, many enterprises have migrated or are planning to migrate their business and applications to the cloud. But it may face the problems of application performance degradation, and the key business and applications may suffer security threats. Therefore, migrating to cloud or deploying in independent server is a problem that needs to be further studied. In this paper, based on the Tsinghua cloud platform, Tsinghua cloud monitoring platform was set up based on Nagios. Firstly, Tsinghua cloud platform and its architecture were introduced, and then Nagios and the architecture of Tsinghua cloud monitoring platform were discussed. For cloud migration performance evaluation, Ubuntu and Windows were used as operating system platforms, CPU load and memory usage were used as evaluation indexes, two applications of CPU computing type and server load type respectively ran on the cloud server and the independent server. At last, the experimental results were analyzed and compared. The experimental result shows that some applications have better performance on independent servers that may not be suitable for migrating to cloud platform.