Cloud platform resource adaptive early warning method and system

A cloud platform and self-adaptive technology, applied in the computer field, can solve problems that affect the normal operation of the cloud platform, increase resource consumption, and fail to provide arrangements for deploying virtual machines to regularly adjust resource allocation, etc.

Active Publication Date: 2017-06-23
CHINA TELECOM CORP LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing cloud computing technology cannot predict the future resource consumption data of virtual machines on the same physical machine in advance, so it cannot provide the basis for arranging and deploying virtual machines, and provide support for regular adjustment of resource allocation. Dynamic migration adjustment will increase the consumption of resources and affect the normal operation of the cloud platform

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  • Cloud platform resource adaptive early warning method and system
  • Cloud platform resource adaptive early warning method and system
  • Cloud platform resource adaptive early warning method and system

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Embodiment Construction

[0056] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0057] At the same time, it should be understood that, for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0058] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0059] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the descript...

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Abstract

The embodiment of the present invention discloses a cloud platform resource self-adaptive early warning method and system, wherein the method includes: the node management unit collects various resource consumption data of the physical machine and each virtual machine according to the first preset period and reports it to the resource analysis Early warning server; the resource analysis early warning server analyzes various resource consumption data according to the second preset cycle, and predicts various resource consumption data of physical machines and virtual machines at each collection point in the future; monitors the operating load of the physical machine in real time, and if it exceeds Early warning threshold value, collect the resource consumption data of each virtual machine at the current moment, and analyze whether the rate of change relative to the previously predicted resource consumption data is greater than 1; if it is greater than 1, re-predict the resource consumption data of each collection point in the future; and When the predicted resource consumption data exceeds the preset alarm threshold, an event notification is performed. The embodiment of the present invention can predict and analyze the future resource consumption data of the virtual machine, and provide support for regularly adjusting resource allocation.

Description

technical field [0001] The invention relates to computer technology, in particular to a cloud platform resource adaptive early warning method and system. Background technique [0002] Cloud computing is a new Internet business that provides on-demand services to internal and external users through the Internet through pooled cluster computing capabilities. The advantage of cloud computing technology is that it can improve the resource utilization rate of the server, ensure that the peak periods of resource consumption of virtual machines deployed on the same physical machine are staggered, improve the resource utilization rate of the cloud platform, and achieve the effect of shaving peaks and filling valleys. [0003] In the process of realizing the present invention, the inventor finds that the existing cloud computing technology has at least the following problems: [0004] Since the consumption of resources by virtual machines is not static, the pattern of peak and troug...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08H04L12/24G06F9/455
Inventor 陆浩王福荣王丽清胡华伟吴子特
Owner CHINA TELECOM CORP LTD
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