Cloud computing resource map construction method

Abstract

The invention discloses a cloud computing resource map construction method. The method comprises the following steps: classifying cloud computing resources according to a plurality of different categories; defining attributes of the cloud computing resources by adopting a mode of combining different categories; performing hierarchical organization on the cloud computing resources according to theattributes to form a cloud resource entity set, wherein the cloud resource entity set comprises a plurality of cloud resource entities; measuring the similarity among the plurality of cloud resource entities by adopting a corresponding similarity calculation method according to the types of the attributes, and generating similarity features; classifying the similarity features through a classifierto obtain a classification result; integrating the classification results through ensemble learning to form a cloud resource entity relationship set; and constructing a cloud resource map according to the cloud resource entity set and the cloud resource entity relationship set. The resource discovery efficiency of massive cloud computing resources can be improved to a great extent, semantic resource and demand dynamic matching can be supported, and the resource utilization rate and the demand satisfaction degree are improved.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a method for constructing a cloud computing resource map. Background technique [0002] In the field of cloud computing resource management, the current organizational model of cloud computing resources generally seldom considers the relationship between resource nodes and changes in demand scenarios. Cloud resource discovery methods and allocation methods generally have low resource discovery efficiency, resource and business It is generally difficult to adapt to cloud resource management requirements with complex and varied scenarios and dynamic and changeable requirements due to problems such as poor matching of scene service quality requirements. [0003] In addition, cloud computing is a scalable, elastic, and shared pool of physical and virtual resources. Compared with traditional computer resources, cloud computing resources have a wider range, more divers...

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Problems solved by technology

[0002] In the field of cloud computing resource management, the current organizational model of cloud computing resources generally seldom considers the relationship between resource nodes and changes in demand scenarios. Cloud resource discovery methods and allocation methods generally have low resource discovery efficiency, resource and business It is generally difficult to adapt to cloud resource management requirements with complex and diverse scenarios and dynamic and changeable requirements due to poor matching of scene service quality requirements.

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