Allocation method and device for cloud service resources and computer readable storage medium

Abstract

The embodiment of the invention discloses an allocation method and device for cloud service resources and a computer readable storage medium. The allocation method comprises the steps of: acquiring aQoS (Quality of Service) sensitivity coefficient and a service unit price sensitivity coefficient; according to the QoS sensitivity coefficient, the service unit price sensitivity coefficient, each server unit price and each lessee data traffic, establishing a QoS utility function; according to a standard price of each server, each server unit price and each lessee data traffic, establishing a server loss function; and using maximization of the QoS utility function and minimization of the server loss function as target functions. By a dynamic coordinate search algorithm, optimal solutions of the target functions can be determined, wherein the optimal solutions include a value of each server unit price and a value of each lessee data traffic, so that the two-layer optimization problem of the two values is effectively solved, and in the premise of ensuring QoS of each lessee, price loss of each server is reduced.

Description

technical field [0001] The present invention relates to the technical field of cloud services, in particular to a method, device and computer-readable storage medium for allocating cloud service resources. Background technique [0002] In recent years, cloud computing, as a hot topic and technology, has attracted great attention from the IT and scientific research circles, and is called the next-generation mainstream computing model. At present, cloud computing is gradually becoming practical, and many enterprises deploy their applications on the cloud for computing. In order to reduce the application load, the way to reduce the cost of cloud services is the multi-tenant mode. [0003] When the server cluster provides cloud service resource allocation for each tenant, it needs to meet the quality of service (Quality of Service, QoS) of each tenant. In addition, when the servers in the cluster provide services, they need to charge corresponding fees according to the service...

AI Technical Summary

Problems solved by technology

In order to attract tenants to use its services, the server will provide corresponding price discounts, and correspondingly, it will also lead to price losses caused by server discounts

The existing technology lacks a technical solution that comprehensively considers service quality and server price loss, resulting in unreasonable setting of server fees, resulting in high server price loss

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