Cloud computing virtualization environment-oriented resource monitoring and adjustment system

Abstract

The invention relates to a cloud computing virtualization environment-oriented resource monitoring and adjustment system which comprises a resource information monitoring module and a resource adjustment module, wherein the resource information monitoring module is used for obtaining static configuration information of a virtual machine from Xenstore, obtaining dynamic resource information through XenHypervisor and obtaining detail resource usage information from each DomU; the resource adjustment module comprises a memory resource adjustment module and a VCPU (virtual central processing unit) resource adjustment module; the memory resource adjustment module is used for providing a memory adjustment interface and adjusting memory resources through an on-demand adjustment strategy or a hosting adjustment strategy based on the average memory utilization rate; the VCPU resource adjustment module is used for providing a VCPU adjustment interface and adjusting VCPU resources by calling a hot plug module of the XenHypervisor. The system can be used for not only monitoring the resource utilization state of each virtual machine in real time but also adjusting the resources of various virtual machines.

Description

Technical field [0001] The invention relates to the technical field of virtual machine resource monitoring, in particular to a resource monitoring and adjustment system oriented to a cloud computing virtualization environment based on a Xen virtual machine. Background technique [0002] With the rapid development of cloud computing, the application scope of virtualization technology is becoming wider and wider. Server integration is an important application scenario. By installing virtual machines on the server and integrating various scattered resources, the resources of the server can be utilized to the maximum, the resource cost and the cost of the enterprise can be reduced. Server integration is usually achieved by deploying multi-layer services on a physical server. Different services run in different virtual machines and perform different tasks, which results in differences in resource requirements. For example, some virtual machines that run complex tasks may require more...

AI Technical Summary

Problems solved by technology

[0008] The existing Xen virtual machine resource monitoring system often has shortcomings such as incomplete information collection and poor real-time performance, which brings great inconvenience to the system administrator in analyzing the performance of the virtualization system

At the same time, existing resource monitoring systems often focus on information monitoring, and do not do much work on resource adjustment and management, and can only provide system administrators with very few means of resource adjustment.

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