Predictive Computational Models for Infrastructure Management

Authors: Rajani Gatta

DOI: https://doi.org/10.37082/IJIRMPS.v13.i5.233165

Short DOI: https://doi.org/hb8xbp

Country: India

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Abstract: Repository management platforms have become a fundamental component of modern DevOps and Continuous Integration/Continuous Delivery (CI/CD) environments by providing centralized storage, management, and retrieval of binary artifacts, software dependencies, and container images. As enterprise software development continues to expand, repository storage utilization increases significantly, creating challenges in capacity management and infrastructure planning. Insufficient storage availability can disrupt software development, build, and deployment activities, resulting in service downtime and adverse business impact. Although repository management platforms provide automated cleanup mechanisms for obsolete artifacts, these approaches are inadequate for proactive capacity planning because frequently accessed artifacts cannot be removed without affecting active development workflows. Consequently, administrators require an intelligent forecasting mechanism to accurately estimate future repository storage requirements and support timely infrastructure expansion. This paper presents a computational framework for repository capacity planning based on Univariate Linear Regression Analysis to forecast storage utilization using historical repository usage data. The proposed framework derives a regression equation that models storage growth patterns and predicts future repository capacity requirements with improved accuracy. The prediction results enable administrators to proactively schedule storage expansion, optimize repository maintenance operations, and prevent unexpected service interruptions caused by storage exhaustion. Experimental results demonstrate that the proposed framework provides reliable storage utilization forecasting, reduces administrative overhead, improves repository availability, enhances infrastructure resource utilization, and supports effective capacity planning for enterprise-scale DevOps environments.

Keywords: Sonatype Nexus Repository Manager, NXRM, Release Repository, Snapshot Repository, Docker registry, npm repository, Maven, Nuget, LDAP, Linear Regression Analysis.

Paper Id: 233165

Published On: 2025-10-04

Published In: Volume 13, Issue 5, September-October 2025

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