Causal relationship test and micro-service index prediction alarm method

Abstract

The invention relates to a causal relationship test and micro-service index prediction alarm method. The method comprises service index causal relationship discovery based on Granger causal relationship test and multi-index prediction based on Attention LSTM. According to the method, the indexes having the causal relationship with the to-be-predicted index are found through the Granger causal relationship test and jointly participate in prediction, so that the prediction accuracy is improved. And meanwhile, aiming at the problems that the index sequence in the micro-service scene is relatively long, the causal relationship exists locally among the indexes, and the overall causal relationship is not strong, the Granger causal relationship test is improved, and the causal relationship is calculated in a segmented increment manner. In the practical application of the method, when a new value is added into the time sequence, only the causal relationship of the increment needs to be calculated, and the historical data does not need to be re-calculated, so that the calculation amount is reduced, and the causal relationship discovery efficiency in the micro-service scene is improved.

Description

technical field [0001] The invention belongs to the technical field of computer applications, and in particular relates to a causal relationship test and a microservice index prediction and alarm method. Background technique [0002] With the development of the Internet, the explosive growth of network services has brought convenience to people's lives. Nowadays, people's clothing, food, housing and transportation are increasingly inseparable from Internet services. At the same time, the number of users of network services is growing rapidly, the system architecture of traditional network services is slow to iterate, and deployment and maintenance are difficult, which can no longer meet current needs. Microservice architecture overcomes the shortcomings of traditional architecture and has received extensive attention. [0003] The microservice architecture divides a single service into multiple small services, each of which runs independently and provides services to users ...

AI Technical Summary

Problems solved by technology

At the same time, the number of users of network services is growing rapidly, the system architecture of traditional network services is slowly iterative, and deployment and maintenance are difficult, which can no longer meet the current needs

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