Service utility maximized virtual machine distribution method of cloud service center

Abstract

The invention provides a service utility maximized virtual machine distribution method of a cloud service center, and relates to the technical field of cloud computing. The cloud service center is formed by a random task model, a cloud service center model, and a cloud resource distribution model. The random task model sends a service request to the cloud service center. The cloud service center makes the cloud resource distribution model to serve the random task model according to the request sent by the random task model. The method is good in practicability, and is very convenient to use. When various service is provided by the cloud service center, aimed at different cloud service request intensity and different user service quality requirements, the maximized service center total service utility virtual machine distribution scheme is provided, promoting dynamic resource distribution of cloud resources among sub-service centers which execute different cloud services. Finally, with maximizing the service utility of the whole service center as target, a single parent genetic algorithm SOPGA solved by an optimal distribution scheme based on integer coding is given. The method has practical meaning on improving resource utilization rate and service quality.

Description

【Technical field】 [0001] The invention relates to the technical field of cloud computing, in particular to a virtual machine allocation method for maximizing service utility of a cloud service center. 【Background technique】 [0002] As we all know, the latest cost analysis shows that server cost occupies a dominant position in the total cost of cloud service centers. Improving server resource utilization and maximizing resource allocation for service utility have become the key for cloud service providers to reduce operating costs and maximize profits. When the cloud service center provides multiple cloud services, the arrival rate of different types of cloud service requests may be different, and different users may have different service quality requirements. A virtual machine allocation method for cloud service center service utility maximization is proposed, and the cloud service The service loss function and service income function related to the quality level promote t...

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Problems solved by technology

[0009] The above literatures have studied the methods of improving cloud service utility from different aspects, but these literatures have not considered how the level of service quality affects the service utility of the cloud service center, the relationship between service utility and service completion quality, and the cloud service center service. How to solve the optimal number of virtual machines for utility maximization? Based on these problems, this paper analyzes the service loss suffered by the cloud system caused by the task staying in the cloud system per unit time, and analyzes how the response time of the service center to the task affects the service utility. , and the calculation method of the number of processors required to maximize the service utility of the cloud service center is given

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