A Parallel Computing Framework for Cloud Services

In recent years, the field of big data processing has increasingly demanded computer performance for data processing. In order to enable users to use the big data processing platform conveniently and quickly, and put more attention on the writing of parallel computing algorithms, this paper focuses on cloud services, parallel computing, IronPython and virtualization as the main research content, and uses Python for the client, Service node and computing node module design, using the reflexive and self-observing capabilities of Python, calling library functions to achieve functions that cannot be achieved in other languages. The parallel computing framework based on Python designed in this paper can be easily implemented on the virtual machine of the cloud computing platform, and can efficiently and intelligently distribute computing requests.