A Cloud Computing Method for High Performance Scientific Computing

Abstract

The invention discloses a cloud computing method for high-performance scientific computing, including local computing users, the local computing users are connected to a service terminal, the service terminal is connected to a cloud platform, and the local computing users include local storage, computing A terminal, a computing cache and a computing node, the local storage is connected to the computing terminal, the computing terminal is connected to the computing cache, the computing cache is generated with a computing node, the service terminal includes an encryption module and an authentication module, and the encryption module Connected to the authentication module, the cloud platform includes a cloud sharing terminal and cloud storage, the cloud sharing terminal is connected to the cloud storage, by producing computing nodes in the calculation, and then encrypting and transmitting them to the cloud platform for storage, both data upload and storage can be reduced. The amount of reading can effectively increase the rate, while reducing redundant data, which is conducive to shared management, can increase the calculation rate, and greatly improve cloud computing and high performance and efficiency.

Description

A cloud computing method for high-performance scientific computing technical field [0001] The present invention relates to the field of cloud computing, in particular to a cloud computing method for high-performance scientific computing. Background technique In recent years, with the explosive growth of scientific data, the storage space required for the research and application of scientific data There are more and more storage and computing resources, and cloud computing can be applied to centrally manage big data and provide users with relevant information. A new technology for cheap services. However, the existing cloud computing methods are mostly to completely store the computing data on the cloud platform, which is not only easy to cause computing problems. The calculation data is chaotic and huge, which increases the pressure on the cloud platform server, resulting in slower reading, which will still affect the calculation efficiency, and the data The infor...

AI Technical Summary

Problems solved by technology

[0003] However, most of the existing cloud computing methods store the complete calculation data on the cloud platform, which not only easily causes the calculation data to be chaotic and huge, but also increases the pressure on the cloud platform server, resulting in slow reading, which still affects the calculation efficiency, and the data information Poor security, not conducive to collaborative use, so a new calculation method needs to be proposed

Images