On Performance of Big Data Storage on Cloud Mechanics in Mobile Digital Healthcare

In recent years, the concept of cloud computing and big data analysis are considered as two major problems. It empowers the resources of computing to be maintained as the service of information technology with high effectiveness and efficiency. In the present scenario, big data is treated as one of the issues that the experts are trying to solve and finding ways to tackle the problem of handling big data analytics, how it could be managed with the technology of cloud computing and handled in the recent systems, and apart from this, the most significant issue is how to have perfect safety of big data in the cloud computing environment. In this paper, the authors mainly improve the performance of big data storage on cloud mechanics as the integration of mobile digital healthcare. The proposed framework involves the process of refining the sensitivity by using a deep learning approach. After this, it involves the step of computing or storage in the cloud-based server in an optimized manner. The experimental analysis provides a significant improvement in terms of cost, time, and accuracy.