Method and system for computing cloud computing service resources based on big data environment

Abstract

The invention discloses a method for computing cloud computing service resources based on a big data environment. The method comprises the following steps: collecting running indexes of a virtual machine in a service system through data collection and data mining; classifying the collected running indexes; analyzing the classified running indexes, and obtaining all kinds of standard resource indexes; collecting resource application information of a user; extracting optimal resource configuration according to the resource application information and the standard resource indexes; and applying resources and creating the environment according to the resource configuration. The invention further discloses a system for computing cloud computing service resources based on the big data environment. Accurate resource amount can be provided for the target service system corresponding to the user by data analysis of each service system and the application resource amount by using the big data, so that when the user applies for the resource or when an administrator allocates resources, the resource use accuracy is improved, and the continuity and resource use rate of the service system of theuser are improved.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a cloud computing business resource computing method based on a big data environment and a cloud computing business resource computing system based on a big data environment. Background technique [0002] From the perspective of market penetration, cloud computing is still an emerging industry in China at present and even in the next few years. Its future development depends on the popularization of cloud computing knowledge and the evaluation and feedback of relevant users on the one hand. [0003] Based on the broad development prospects of big data and cloud computing, various provinces and cities have also issued corresponding development plans. Promoting the development and application demonstration of related industries is becoming a major strategy for all regions to seize the commanding heights of a new round of economic and technological development, and acti...

AI Technical Summary

Problems solved by technology

[0006] However, because users lack an accurate understanding of the amount of resources they need, in actual situations, the application amount is far greater than the actual amount or far less than the actual amount, resulting in inappropriate use of resources; and administrators lack data and In the case of empirical support, it is also difficult to give reasonable and effective suggestions, and can only be allocated according to the amount requested by the user. Therefore, there is a large deviation between the actual resource usage demand and the capacity planning, and it is easy to cause a lot of waste.

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