Cloud platform data processing method

Abstract

The invention relates to the technical field of data processing, in particular to a cloud platform data processing method, which comprises the following steps: S1, performing communication connectionon a data acquisition module arranged on a cloud server and an Internet of Things platform, and performing communication connection on a data processing module arranged on the cloud server and the Internet of Things platform; S2, connecting a data distribution module to the data processing module, and storing the data distribution module on a local disk through respective distribution storage modules; S3, after the storage position of each block file is stored, pre-reading each block file, and executing pre-read data by an execution module and is processed by a processing module; and S4, communicating the service processing module with the Internet of Things platform and the data processing module, transmitting data through the service processing module, and providing a data analysis result. The technical problems that in the prior art, when data are analyzed, the cost is high, and the safety is low are solved, and the stability of the cloud computing service is guaranteed.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a cloud platform data processing method. Background technique [0002] With the development of science and technology, the application scope of cloud platform is more and more extensive. [0003] Cloud computing is a mode that can obtain computing resources in a convenient and on-demand manner through the network. These resources come from a shared and configurable resource pool, and can be quickly obtained and released. It has subverted the consumption pattern and service method of the traditional IT industry, and realized the transformation from the previous purchase of software and hardware products to the purchase of services. Its role is mainly reflected in virtualized data information processing and computing. More and more platforms and applications, as producers and consumers at the same time, also make the amount of data on the Internet increase at an alarming r...

AI Technical Summary

Problems solved by technology

It has subverted the consumption pattern and service method of the traditional IT industry, and realized the transformation from the previous purchase of software and hardware products to the purchase of services. Its role is mainly reflected in virtualized data information processing and computing. More and more platforms and applications, as producers and consumers at the same time, also make the amount of data on the Internet increase at an alarming rate. In many cases, it is necessary to dynamically adjust the calculation of the application server in the SDN architecture. The application server The computing pressure of the application server is high during access peaks. At this time, more computing resources are needed to increase the computing performance of the application server. When the access is low, the computing pressure of the application server is small. If the computing performance of the application server is too large, then It will cause a waste of computing resources. However, when adjusting the computing performance of application servers in the current SDN architecture, we can only rely on manual increase or decrease of application servers. The adjustment speed is slow and cannot meet the requirements of rapid expansion and contraction of application servers. Therefore, data processing and computing have become an important part of cloud computing infrastructure, and efficient management of large-scale data has become a technical problem that needs to be solved urgently

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