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A method and device for predicting the duration of kubernetes mounted volumes
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Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A technology of duration and mounting, applied in program control devices, program control design, complex mathematical operations, etc., can solve problems such as time-consuming, difficult for users to understand, and inability for users to judge the current state.
Active Publication Date: 2022-05-31
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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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
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Embodiment 1
[0063] S3, when executing the mounted volume, predict and display the remaining duration of the mounted volume according to the theoretical duration of the mounted volume.
[0066] A large number of original samples are obtained by mounting the volume multiple times to improve the prediction accuracy. The duration of the above 8 characteristics is correct
[0068]
[0069]
[0072]
[0073] After obtaining the predicted sample, a normal distribution model is established, and the theoretical duration of the mounted volume is calculated, and the process includes the following steps.
[0077] Among them, i=1, 2...
[0078] Taking the example in Table 2 above as an example, the value of N is 6, that is, there are 6 groups of samples.
[0080] According to the central limit theorem, the eigenvalues of each feature satisfy a normal distribution.
[0085]
[0087] Volume size affects x
[0094] The calculated overall normal distribution mean μ is the theoretical duration of the mounted...
Embodiment 2
[0100] As shown in FIG. 2, on the basis of Embodiment 1, this embodiment provides a method for predicting the duration of Kubernetes mount volumes.
[0102] The theoretical duration calculation module 102 of the mounted volume: establishes a normal distribution model according to the predicted sample, and calculates the theoretically mounted volume
[0103] The remaining duration prediction module 103 of the mounted volume: when executing the mounted volume, predict the remaining duration of the mounted volume according to the theoretical duration of the mounted volume
[0104] Wherein, the mount volume duration parameter includes the creation host duration, the mapping volume duration, the login host duration, the scan host duration
[0110] The variance of the i-th feature is:
[0111] Wherein, i=1, 2...8, k represents the kth prediction sample, k=1, 2...N, N is the total number of prediction samples.
[0120] In addition, the device also includes a failure probability calculatio...
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Abstract
The invention discloses a method and device for predicting the time length of a Kubernetes mounted volume, which obtains multiple groups of historical mounted volume time length parameters to form a prediction sample; establishes a normal distribution model according to the predicted samples, and calculates the theoretical time length of the mounted volume; when executing the mounted volume , predict and display the remaining duration of the mounted volume based on the theoretical duration of the mounted volume. The present invention uses historical parameters to predict the total mounting time of a volume based on a normal distribution, and dynamically prompts the remaining time during the mounting process. Preferably, when the time-consuming exceeds the predicted total time, the cumulative probability is used to estimate the probability of failure, so that the user Don't wait blindly anymore, and understand the running dynamics in real time.
Description
A method and device for predicting the duration of Kubernetes mount volumes technical field The present invention relates to Kubernetes mount volume field, be specifically related to a kind of prediction Kubernetes mount volume duration method and apparatus. Background technique [0002] Kubernetes (container orchestration system) is a portable, extensible, open source, container-centric management The platform uses declarative configuration and automated processing to complete container management, and unified scheduling management according to user business Infrastructure resources such as computing, network, and storage are the current de facto standards in the field of container orchestration services. The purpose of CSI (Container Storage Interface, container storage interface) is to define industry standard "Container Storage Interface", which enables storage vendors to develop a CSI-compliant plug-in and make it Works in Kubernetes. The main functions of CS...
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