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Self-adaptation resource monitoring system and method based on large-scale cloud computing platform

A resource monitoring and cloud platform technology, applied in the field of cloud computing, can solve problems such as cloud computing research lag

Active Publication Date: 2014-07-09
GUANGDONG ELECTRONICS IND INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Since cloud computing was formally proposed in 2007, it has attracted the attention of the academic community, and it has provided cloud services to users in the form of commercial applications before, and the research on cloud computing in the academic community is relatively lagging behind.

Method used

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  • Self-adaptation resource monitoring system and method based on large-scale cloud computing platform
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  • Self-adaptation resource monitoring system and method based on large-scale cloud computing platform

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Embodiment Construction

[0023] Such as figure 1 As shown, the resource monitoring system of the present invention includes a G101 resource monitoring module, a G102 resource monitoring and analysis module, a G103 data collection module, and a G104 data storage module; samples and send the data to the data collection module. The resource monitoring and analysis module is used to make a decision on the data transmission mode according to the sampling information of the resource monitoring module. The data collection module is used to collect the sampling data of various resources, and then send it to the data storage module in an appropriate push method according to a certain mechanism. The data storage module is used for storing the received data according to a predetermined format. The content of the foregoing monitoring and analysis includes real-time sampling values ​​of various resources, and judging whether they exceed a preset resource usage threshold. When the sampled resource information ex...

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Abstract

The invention relates to the technical field of cloud computing, and in particular relates to a self-adaptation resource monitoring system and method based on a large-scale cloud computing platform. The method comprises the steps of establishing a multi-clustering system by setting up a cloud environment; acquiring a network topological graph under the cloud environment, and monitoring the state of each node or virtual machine according to the topological graph; and customizing a monitoring parameter configuration template, and monitoring the resource use condition of each node or virtual machine. According to the invention, the monitoring system can be well adaptive to dynamic addition and quit of resources on the cloud platform, the information collected by monitoring can well reflect the load information on the platform. The self-adaptation resource monitoring system and method can be applied to the monitoring of the resources on the cloud computing platform.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to an adaptive resource monitoring system based on a large-scale cloud computing platform. Background technique [0002] Since cloud computing was formally proposed in 2007, it has only attracted the attention of the academic community, and it has provided cloud services to users in the form of commercial applications before, and the research on cloud computing in the academic community is relatively lagging behind. Cloud computing is the continued development of Distributed Computing, Parallel Computing and Grid Computing. At present, cloud computing mainly has three business application models: IaaS (Infrastructure as a Service: infrastructure as a service), PaaS and SaaS (Software as a Service: software and services), their emergence and cloud computing itself on-demand services, high-end With the characteristics of reliability, high scalability, versatility and low cost...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
Inventor 陈红岳强季统凯
Owner GUANGDONG ELECTRONICS IND INST