A Virtual Machine Scheduling Method Based on Level and Physical Machine Load in Cloud Platform

Abstract

The invention provides a virtual machine scheduling method based on security levels and service levels and physical machine loads in a cloud platform. A virtual machine is made to be started on a physical machine meeting the requirements by setting the security level and the service level of the virtual machine and the security level and the service level of the physical machine. The virtual machine scheduling method has the following detailed requirements that the security level and the service level of the virtual machine correspond to those of the physical machine, and the physical machine with the optimal loading condition is selected to start the virtual machine on the condition that the first requirement is met. By means of the scheduling method, maximum utilization of resources is achieved on the condition that the security level and the service level meet the requirements.

Description

technical field [0001] The invention relates to a virtual machine scheduling method in a cloud platform, in particular to a virtual machine scheduling method based on security level, service level and physical machine load. It belongs to the field of cloud computing. Background technique [0002] According to the definition of cloud computing by the National Institute of Standards and Technology (NIST), cloud computing is a pay-per-use model that provides available, convenient, and on-demand network access to configurable computing Shared pools of resources (resources include network, server, storage, application software, and services) that can be provisioned quickly with minimal management effort or interaction with service providers. The cloud computing platform first abstracts the resources owned by many physical machines (that is, real computers) to form a resource sharing pool. Then use the resources in the resource sharing pool to create a virtual machine (that is, ...

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Problems solved by technology

[0008] (2) It is impossible to reasonably allocate physical machines to virtual machines based on the functions of virtual machines and physical machines. In fact, considering the functions of applications running on physical machines and virtual machines will greatly improve the operating efficiency of virtual machines

[0009] (3) There is no scheduling based on network conditions in most cloud platforms

[0010] (4) It is impossible to schedule virtual machines based on the comprehensive performance of physical machine loads

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