Virtual resource allocation method and allocation device

Abstract

The present invention provides a virtual resource allocation method and an allocation device. The virtual resource allocation method includes: obtaining the application type and configuration information deployed by each virtual machine in the allocated virtual machines, and detecting the operation of each virtual machine Status information, to determine the application service indicators corresponding to each type of application under different virtual machine configuration information; real-time detection of the running status information of each virtual machine to be allocated, and combine each type of application in different virtual machine configurations According to the corresponding application service index under the information, determine the application service index that each virtual machine to be allocated can provide; find the target virtual machine according to the application type and application service demand index applied by the user, and assign it to the user. The technical scheme of the invention not only lowers the technical threshold for applying for virtual machine resources, but also flexibly allocates the best virtual machine resources according to user requirements, thereby realizing the optimization of virtual machine resource allocation and utilization.

Description

technical field [0001] The present invention relates to the technical field of cloud computing resource allocation, in particular to a virtual resource allocation method and a virtual resource allocation device. Background technique [0002] At present, "cloud platform", as a new resource form, moves the infrastructure, software development platform and applications from the local to the network environment, and provides them to users in the form of services. Users can purchase, pay and customize cloud services on demand, effectively reducing investment and management costs. However, most ordinary users cannot accurately determine how many virtual machine resources need to be purchased, and how to estimate the virtual resources required by the application system. Even for some professionals, it is very time-consuming to accurately calculate the virtual resources that need to be applied for. It cannot effectively guarantee the quality of service. [0003] The existing "clou...

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Problems solved by technology

This kind of work is very difficult for users, and often fails to achieve the expected results

[0004] In response to the above problems, related technologies also propose that the cloud platform provides some virtual machine instances with fixed configurations according to the service objects, so that users can choose the corresponding virtual machine type according to their own application types. This method solves the problem of users choosing virtual machines to some extent. It reduces the workload of users and lowers the technical threshold, but it cannot make the virtual machine resource allocation reach the optimal state, which may cause insufficient virtual machine resources in high concurrency periods or idle virtual machine resources.

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