Statistical analysis method used for cloud computing resource pricing

Abstract

The invention discloses a statistical analysis method used for cloud computing resource pricing. The method comprises the following steps: 1, a resource example of a new cloud service provider is given, and a cloud computing example of the existing market is collected; 2, the probability distribution of all existing examples in different price ranges is subjected to statistics; 3, data of the existing examples and a new example are subjected to standard processing, the existing example and the new example are classified, the existing example which is in the same category with the new example are selected as similar examples of the new example; 4, initial market shares of the similar examples are obtained, a user transition probability matrix is built, and short-term market shares and finial market shares of the similar examples are calculated by adopting a Markov chain method; 5, the price, the probability distribution and the market shares of the similar examples are subjected to statistics, and the price of the new example is calculated.

Description

technical field [0001] The invention relates to the technical field of Internet computer software, in particular to a statistical analysis method for cloud computing resource pricing. Background technique [0002] In the Internet era with the rapid development of information and communication technologies, the computing model has evolved from submitting tasks to large-scale processors to network-based distributed task processing, and finally evolved into an on-demand cloud computing model. [0003] Cloud computing is a new type of popular computing platform, which adopts the operation mode of requesting resources on demand and paying according to actual usage. The definition of cloud computing is very broad. For example, Foster defines cloud computing as a large-scale distributed computing system driven by economies of scale in "Cloud computing and grid computing 360-degree compared". Manageable computing resources, storage space, application platforms and services. [000...

AI Technical Summary

Problems solved by technology

The purpose of this method is to obtain a stable equilibrium pricing strategy for all authorized users. If a new authorized user joins the market, other authorized users will also change the price accordingly. In reality, there may be new authorized users whose market influence is not enough to influence other authorized users. change the price

[0008] However, the above pricing method does not consider pricing from the current cloud service market conditions

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