resource pricing method based on Pareto optimization under the cloud environment

Abstract

The invention is applicable to the cloud computing technical field, and provides a resource pricing method based on Pareto optimization under the cloud environment. The method comprises the followingsteps: S1, based on user satisfaction degree and maximum utility of cloud service provider profit, establishing a Pareto optimization cloud service resource pricing model; S2, Pareto optimization is found based on hybrid search algorithm, that is, the best pricing of each cloud service resource is obtained. The invention proposes a resource pricing model based on Pareto optimality, and transformsthe price contradiction into a game between user satisfaction and cloud service provider profit, and finally realizes the balance between user satisfaction and cloud service provider profit, namely realizes Pareto optimality, and obtains the best pricing of each cloud service resource.

Description

technical field [0001] The invention belongs to the technical field of cloud computing and provides a resource pricing method based on Pareto optimality in a cloud environment. Background technique [0002] Cloud computing is a commercial computing model, which distributes computing tasks on a resource pool composed of a large number of computers or servers, enabling users to obtain computing services, storage space, etc. according to their own needs, and pay a certain fee. Cloud computing transforms information technology into common goods and public utility equipment for users to pay for. Therefore, understanding the business operation mode and economic characteristics of cloud computing has become an increasingly important research focus. [0003] In a cloud computing environment, it usually consists of three parts, users, cloud service centers, and cloud service providers. The cloud service provider builds a cloud cluster with software and hardware resources, and charge...

AI Technical Summary

Problems solved by technology

Some literature points out that fixed pricing will cause waste of resources, and at the same time, it is less adaptable to service price differentials

Although there are different fixed pricing methods, it still cannot meet the dynamic needs of users and cannot reflect the market supply and demand situation, which is of little significance to the service provider's next market assessment

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