Data analysis method aiming at evaluation of server hardware state

Abstract

The invention discloses a data analysis method aiming at evaluation of a server hardware statement. Based on a fuzzy comprehensive evaluation method, the method is characterized in that a fuzzy comprehensive evaluation index system for hardware state evaluation is established from perspectives such as representativeness, completeness and applicability according to actual situations of hardware running; a CRITIC assignment method is used to determine weights of different indexes, so that a weight set of the evaluation indexes is constituted; a 4-grade scale is used to establish an evaluation grade set; single-factor fuzzy evaluation is carried out, and an evaluation fuzzy matrix is determined; an operator is used to conduct fuzzy comprehensive evaluation to compositional operation, so that fuzzy subsets on the evaluation grade set are obtained; and finally, a final fuzzy comprehensive evaluation result is determined. In comparison with the prior art, the invention provides a fuzzy evaluation model which is improved based on the CRITIC assignment method; and the model is applied in the evaluation of the server hardware state. In this way, the method can help a server management worker better master the hardware state, adjust resources in time and increase working efficiency.

Description

technical field [0001] The present application relates to the field of data analysis, in particular to a data analysis method for server hardware status evaluation. Background technique [0002] Under the background of the continuous construction of the virtualization platform, the original hardware layer of the information system will undergo tremendous changes. After hardware virtualization, the original hardware layer structure has changed, breaking the boundaries of physical devices, and all the original hardware devices form a unified cloud resource hardware layer. The large scale and large number of equipment at the hardware layer lead to difficulties in management and maintenance. Specifically, it is impossible to know the operating status of the equipment in time, and it is not known whether the equipment is running healthily; Maintenance is difficult and costly, requiring a lot of manpower and material resources for manual inspection of equipment. [0003] The tra...

AI Technical Summary

Problems solved by technology

The large scale and large number of equipment at the hardware layer lead to difficulties in management and maintenance. Specifically, it is impossible to know the operating status of the equipment in time, and whether the equipment is in healthy operation; Maintenance is difficult and costly, requiring a lot of manpower and material resources for manual inspection of equipment

[0003] The traditional method of relying on manpower for server hardware management has a large workload, time-consuming, low efficiency, and relatively lagging behind. It can no longer support the current virtualization platform management needs. It needs to be based on the new environment and needs of existing businesses. Improvement of Server Hardware State Management Method

Images