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Sampling rate self-adaptive adjustment method and device

An adaptive adjustment and sampling rate technology, applied in digital transmission systems, electrical components, transmission systems, etc., can solve the complex and difficult problems of different types of node call relations, achieve efficient and reliable adjustment process, improve accuracy and Reliability, to achieve the effect of automatic adjustment

Inactive Publication Date: 2019-11-19
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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AI Technical Summary

Problems solved by technology

[0002] With the maturity of microservice architecture, a large number of enterprise-level applications adopt distributed architecture and cloud computing platform, and the calling relationship between different types of nodes in production is intricate
For Java applications, once an error occurs in the online program, the traditional method of problem analysis for developers is mainly offline. For example, it is difficult to find problems from massive logs.

Method used

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  • Sampling rate self-adaptive adjustment method and device
  • Sampling rate self-adaptive adjustment method and device
  • Sampling rate self-adaptive adjustment method and device

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Embodiment Construction

[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0067] Considering that in the process of distributed link tracking for each application node in a distributed cluster, the sampling rate of existing application nodes cannot be automatically adjusted, and it is impossible to accurately capture sporadic links. This application A sampling rate adaptive adjustment method, a sampling rate adaptive adjustment devi...

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Abstract

The embodiment of the invention provides a sampling rate self-adaptive adjustment method and device. The sampling rate self-adaptive adjustment method comprises the steps: collecting a current runningstate index of an application node in a distributed cluster; and judging whether the current running state index of the application node needs to be adjusted or not based on a pre-acquired sampling rate adjustment rule corresponding to the application node, and if so, adjusting the sampling rate of the application node according to the sampling rate adjustment rule to obtain a target sampling rate and corresponding duration time; and storing the target sampling rate of the application node and the corresponding duration into a configuration file corresponding to the application node so as totrack a link corresponding to the application node based on the target sampling rate within the duration. According to the application, in the process of carrying out distributed link tracking on eachapplication node in the distributed cluster, the automatic adjustment of the sampling rate of the application nodes can be effectively realized, and the automatic adjustment capability of the sampling rate is improved, and the capturing of accidental links can be realized more accurately and reliably.

Description

technical field [0001] The present application relates to the technical field of distributed tracking, in particular to a sampling rate adaptive adjustment method and device. Background technique [0002] With the maturity of microservice architecture, a large number of enterprise-level applications adopt distributed architecture and cloud computing platform, and the calling relationship between different types of nodes in production is intricate. For Java applications, once an error occurs in an online program, traditional problem analysis methods for developers are mainly offline. For example, it is difficult to find problems from massive logs. The emergence of distributed tracking technology allows R&D and operation and maintenance personnel to better control the calls between nodes, and to troubleshoot online problems more efficiently and conveniently. Links collected by distributed tracing are often sample-based, based on the assumption that links are normal most of th...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L29/08
CPCH04L41/0246H04L67/10
Inventor 刘慕雨王泽洋吴成龙王涛
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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