Regression Analysis for Disk Space Management

Abstract: Sonatype Nexus is a powerful repository manager widely used in DevOps and continuous integration/continuous delivery (CI/CD) pipelines. It is designed to manage, store, and retrieve binary artifacts efficiently. Nexus plays a crucial role in software development by providing centralized storage and management for build artifacts, dependencies, and containers, enabling teams to collaborate more effectively and maintain control over their software supply chain. As part of the business activity on daily basis , lots of artifacts will be uploaded to number of repositories to each nexus instance. It is administrator’s responsibility to clear the space as and when it reaches to beyond the thresh hold limit. If the admin misses to clear the space it leads to the situation to shuts down the server, which will effect the entire business. Admin can use the available automated tasks from the nexus admin tasks, but they are having some limitations on the deletion of artifacts, we need to opt only unwanted artifacts. But in the case of high usage of wanted artifacts the space will get decreased and we can’t know when the server will go down. This paper resolves this issue by providing the solution using machine learning algorithm (Linear Regression Analysis) on the usage of space by users. It will findout the regression equation for the given data , so that we can find out prediction value for each actual value. Using the regression equation we can predict the value

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-25
DOI
https://doi.org/10.22214/ijraset.2024.65483
Citations
1
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.49
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article

Regression Analysis for Disk Space Management

Nicola Megna, Nookala Kirran Priya, Surya Shravani Varkali, Harsha Teja Varkali
1 citations
International Journal for Research in Applied Science and Engineering Technology
Simulation Techniques and Applications
0.49
article

Regression Analysis for Disk Space Management

Nicola Megna, Nookala Kirran Priya, Surya Shravani Varkali, Harsha Teja Varkali
article en
1 citations

Abstract

Abstract: Sonatype Nexus is a powerful repository manager widely used in DevOps and continuous integration/continuous delivery (CI/CD) pipelines. It is designed to manage, store, and retrieve binary artifacts efficiently. Nexus plays a crucial role in software development by providing centralized storage and management for build artifacts, dependencies, and containers, enabling teams to collaborate more effectively and maintain control over their software supply chain. As part of the business activity on daily basis , lots of artifacts will be uploaded to number of repositories to each nexus instance. It is administrator’s responsibility to clear the space as and when it reaches to beyond the thresh hold limit. If the admin misses to clear the space it leads to the situation to shuts down the server, which will effect the entire business. Admin can use the available automated tasks from the nexus admin tasks, but they are having some limitations on the deletion of artifacts, we need to opt only unwanted artifacts. But in the case of high usage of wanted artifacts the space will get decreased and we can’t know when the server will go down. This paper resolves this issue by providing the solution using machine learning algorithm (Linear Regression Analysis) on the usage of space by users. It will findout the regression equation for the given data , so that we can find out prediction value for each actual value. Using the regression equation we can predict the value

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Openalex Percentile: Top 29%
Simulation Techniques and Applications
0.49
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Regression Analysis for Disk Space Management — Nicola Megna, Nookala Kirran Priya, et al. · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS