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Online virtual resource allocation method based on virtual machine pre-deployment

A virtual resource and allocation method technology, applied in resource allocation, program control design, instruments, etc., can solve problems such as inability to respond to virtual machine allocation requests in a timely manner, low system resource utilization, virtual machine deployment optimization, etc., to improve system resource utilization The efficiency, the optimization effect is good, and the effect of reducing the solution scale

Pending Publication Date: 2020-06-19
南京奥工信息科技有限公司
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AI Technical Summary

Problems solved by technology

Although the online methods in related technologies can realize online virtual machine deployment, these methods cannot optimize virtual machine deployment based on offline information, which will lead to the problem of low utilization of system resources after resource allocation
Another part of the resource allocation technology that focuses on offline methods usually only considers the static virtual machine deployment problem, which cannot respond to the virtual machine allocation requests generated online in a timely manner; in addition, these methods usually model the virtual machine deployment problem as a box packing problem for solving , when faced with large-scale heterogeneous virtual machine deployment problems, this modeling method will lead to problems with high complexity and difficult to solve

Method used

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  • Online virtual resource allocation method based on virtual machine pre-deployment
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  • Online virtual resource allocation method based on virtual machine pre-deployment

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Embodiment Construction

[0039] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0040] see as figure 1 -- Figure 7 As shown, the virtual resource allocation in the cloud data center essentially refers to the process of completing the actual deployment of the virtual machine on the physical machine according to the allocation request of the virtual machine. Whether the deployment of virtual machines in physical machines is reasonable directly affects the optimization of system resource utilization. Such as figure 1As shown, for the virtual machine allocation requests of the three heterogeneous virtual machine types, different deployment schemes will lead to different resource optimization effects. Compared with deployment scheme B, deployment scheme A uses fewer physical machines and system resources Higher utilization and better resource optimization. In order to realize online virtual resource allocation, current ...

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Abstract

The invention relates to an online virtual resource allocation method based on virtual machine pre-deployment, and belongs to the field of cloud computing and data center resource management. An online virtual resource allocation framework based on virtual machine pre-deployment is constructed, and the framework realizes organic combination of virtual machine deployment offline optimization and virtual machine deployment online decision making through a virtual machine pre-deployment mode; secondly, designing an online virtual resource allocation process based on the framework so as to realizerapid virtual resource allocation, and meanwhile, improving the physical resource utilization rate of the data center after resource allocation by preferentially using a pre-deployed virtual machineto complete resource allocation; quick response to a virtual machine request can be realized through virtual machine online deployment, and offline resource optimization can be performed on virtual machine deployment, so that the physical resource utilization rate of the cloud data center is improved.

Description

technical field [0001] The invention relates to an online virtual resource allocation method based on virtual machine pre-deployment, and belongs to the field of cloud computing and data center resource management. Background technique [0002] In a cloud environment, computing resources in a data center are usually virtualized into different types of virtual machines and provided to users to perform computing tasks with different resource requirements. Different types of virtual machines have different resource configurations (for example, the "m3.large" type virtual machine provided by Amazon EC2 is configured with 2 CPUs and 7.5G memory capacity). Users can submit resource allocation requests to obtain specified types of virtual machine instances according to their specific resource requirements for performing computing tasks, so as to realize the execution of computing tasks in virtual machine instances. When a user submits a resource allocation request, the correspondi...

Claims

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Application Information

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IPC IPC(8): G06F9/50
CPCG06F9/5077
Inventor 欧阳柳卿
Owner 南京奥工信息科技有限公司
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