Fault identification model training method and device, fault identification method and device and electronic equipment

Abstract

The invention discloses a fault recognition model training method, a fault recognition method and device and electronic equipment. The fault identification model training method comprises the steps ofconstructing at least one positive sample and at least one negative sample corresponding to a set fault based on time series data corresponding to each first time period in at least one first time period, based on the at least one positive sample and the at least one negative sample corresponding to the set fault, and training a set binary classification model to obtain a fault identification model corresponding to the set fault, wherein the time series data comprises first time series data and second time series data, the first time series data represents the log information amount output ateach moment of the corresponding first time period, and the second time series data represents monitoring data of each performance index in the at least one performance index at each moment of the corresponding first time period.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a fault recognition model training method, fault recognition method, device and electronic equipment. Background technique [0002] With the development of computer technology, more and more technologies are applied in the financial field, and the traditional financial industry is gradually transforming into Fintech. However, due to the security and real-time requirements of the financial industry, Fintech also raises the higher requirements. In the field of financial technology, Database as a Service (DBaaS, Database as a Service) is a service solution that provides database resources to one or more tenants in the form of standard services based on traditional database technology. [0003] In related technologies, when a server for providing DbaaS fails, fault analysis is usually performed based on monitoring data of set performance indicators and semantic analysis results co...

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Problems solved by technology

[0004] In view of this, the embodiment of the present invention expects to provide a fault identification model training method, fault identification method, device and electronic equipment to solve the technical problem of low efficiency of fault analysis in the related art

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