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Micro-service workflow operation duration prediction method and device thereof, equipment and medium

A long-running, micro-service technology, applied in the field of data processing, can solve problems such as inaccurate prediction of the running time of micro-service workflows, and achieve the effect of accurate running time

Pending Publication Date: 2022-02-18
BEIJING VOLCANO ENGINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, the prediction of the running time of the microservice workflow is not accurate. How to improve the prediction accuracy of the running time of the microservice workflow is a technical problem that needs to be solved urgently

Method used

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  • Micro-service workflow operation duration prediction method and device thereof, equipment and medium
  • Micro-service workflow operation duration prediction method and device thereof, equipment and medium
  • Micro-service workflow operation duration prediction method and device thereof, equipment and medium

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Embodiment Construction

[0052] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, in the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0053] In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure can also be implemented in other ways than described here; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, and Not all examples.

[0054] In the field of software design, by decomposing complex and large-scale applications into lightweight and low-coupling components, each component has its own source code library, and can perform version updates, resource allocation, and management relatively independently. Components that...

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Abstract

The invention provides a micro-service workflow operation duration prediction method and a device thereof, equipment and a medium, and the method comprises the steps: firstly, obtaining historical log data of a target micro-service workflow, and determining an assembly operation duration corresponding to a first assembly according to first operation starting and ending time extracted from the historical log data, and determining the network transmission duration consumed by calling a second component by the first component according to the second operation starting and ending time. The method comprises the following steps: constructing a time-dependent directed acyclic graph according to a component calling relationship, a component operation duration and a network transmission duration in a target micro-service workflow, and then predicting the operation duration of the target micro-service workflow based on node information and side information configured in the time-dependent directed acyclic graph. According to the embodiment of the invention, on the basis of the time dependency directed acyclic graph which can express the time dependency relationship among the components in the target micro-service workflow in a formalized manner, the operation duration of the target micro-service workflow is predicted more accurately.

Description

technical field [0001] The present disclosure relates to the field of data processing, and in particular to a method, device, device and medium for predicting the running time of a microservice workflow. Background technique [0002] The microservice workflow is a service process formed by components connected by remote calls. The running time of the microservice workflow can be understood as the time spent by the user from sending the service request to receiving the response returned by the service. . Since the microservice workflow is implemented based on components with calling relationships, the calling relationship between components determines the running time of the microservice workflow. [0003] At present, the prediction of the running time of the microservice workflow is inaccurate. How to improve the prediction accuracy of the running time of the microservice workflow is a technical problem that needs to be solved urgently. Contents of the invention [0004]...

Claims

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Application Information

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IPC IPC(8): G06F11/34G06F11/30
CPCG06F11/3423G06F11/3476G06F11/302G06F2201/865
Inventor 温盈盈赵海平陆传胜季向东
Owner BEIJING VOLCANO ENGINE TECH CO LTD