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Method and device for predicting Kubernetes mount volume duration

A technology of duration and mounting, applied in program control devices, complex mathematical operations, program control design, etc., can solve the problems of users being unable to judge the current state, taking a long time, and being difficult for users to understand.

Active Publication Date: 2021-01-12
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main functions of CSI include creating volumes, deleting volumes, mounting volumes, unmounting volumes, and expanding volumes. in progress, may have gone wrong, an instruction is stuck)
R&D personnel can analyze the running status by viewing the log, but the readability of the log is poor, and it is difficult for users to understand

Method used

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  • Method and device for predicting Kubernetes mount volume duration
  • Method and device for predicting Kubernetes mount volume duration
  • Method and device for predicting Kubernetes mount volume duration

Examples

Experimental program
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Effect test

Embodiment 1

[0060] Such as figure 1 As shown, this embodiment provides a method for predicting the duration of Kubernetes mounting volumes, including the following steps:

[0061] S1, obtain multiple groups of historically mounted volume duration parameters to form prediction samples;

[0062] S2, establish a normal distribution model based on the predicted samples, and calculate the theoretical duration of the mounted volume;

[0063] S3, when the volume is mounted, the remaining duration of the mounted volume is predicted and displayed according to the theoretical duration of the mounted volume.

[0064] This method establishes a normal distribution model based on multiple sets of historical data on the time length parameters of the mounted volume, and calculates the theoretical time length of the mounted volume. Avoid users waiting blindly. Preferably, when the actual consumed time of the mounted volume exceeds the theoretical time of the mounted volume, the probability of a possibl...

Embodiment 2

[0100] Such as figure 2 As shown, on the basis of Embodiment 1, this embodiment provides an apparatus for predicting the duration of Kubernetes mounting volumes, including the following functional modules.

[0101] Prediction sample establishment module 101: obtain multiple groups of historical mounted volume duration parameters to form a prediction sample;

[0102] Mounting volume theoretical duration calculation module 102: establish a normal distribution model according to the forecast samples, and calculate the mounting volume theoretical duration;

[0103] The remaining duration prediction module 103 of the mounted volume: when the volume is mounted, the remaining duration of the mounted volume is predicted and displayed according to the theoretical duration of the mounted volume.

[0104] Among them, the volume mount time parameters include the time for creating the host, mapping the volume, logging in to the host, scanning the host, searching for a single path, search...

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Abstract

The invention discloses a method and a device for predicting Kubernetes mount volume duration. The method comprises the following steps: acquiring a plurality of groups of historical mount volume duration parameters to form a prediction sample; establishing a normal distribution model according to the prediction sample, and calculating theoretical duration of the mount volume; when the mount volume is executed, predicting the remaining duration of the mount volume according to the theoretical duration of the mount volume and displaying the remaining duration. According to the method, the totalmounting duration of one volume is predicted by utilizing historical parameters based on normal distribution, and the remaining duration is dynamically prompted in the mounting process; preferably, when the consumed time exceeds the predicted total duration, the probability of failure is estimated by utilizing the cumulative probability, so that a user does not need to wait blindly any more, andthe operation dynamic state is known in real time.

Description

technical field [0001] The present invention relates to the field of Kubernetes mounted volumes, in particular to a method and device for predicting the duration of Kubernetes mounted volumes. Background technique [0002] Kubernetes (container orchestration system) is a portable, scalable, open source, and container-centric management platform. It uses declarative configuration and automated processing to complete container management, and uniformly schedules and manages computing, network, and storage according to user services. It is the de facto standard in the field of container orchestration services. [0003] The purpose of CSI (Container Storage Interface, Container Storage Interface) is to define an industry-standard "container storage interface", enabling storage vendors to develop a CSI-compliant plug-in and make it work in multiple Kubernetes. The main functions of CSI include creating volumes, deleting volumes, mounting volumes, unmounting volumes, and expandin...

Claims

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Application Information

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IPC IPC(8): G06F9/455G06F17/18
CPCG06F9/45558G06F17/18
Inventor 张振广
Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD