Computational Modeling for Infrastructure Capacity Forecasting
Author(s): Manni Megna Nookala
Publication #: 2606041
Date of Publication: 11.07.2025
Country: India
Pages: 1-14
Published In: Volume 11 Issue 4 July-2025
DOI: https://doi.org/10.62970/IJIRCT.v11.i4.2606041
Abstract
Repository management platforms have become an essential 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, the volume of artifacts stored in repositories grows rapidly, resulting in increased storage utilization and capacity management challenges. Insufficient repository storage can interrupt software development, build, and deployment processes, leading to service downtime and significant business impact. Although repository management platforms provide automated cleanup mechanisms for obsolete artifacts, these approaches are insufficient for proactive capacity planning because frequently accessed artifacts cannot be removed without affecting ongoing development activities. Consequently, administrators require an effective mechanism to predict future repository storage utilization and plan infrastructure resources accordingly. This paper proposes a computational framework for repository capacity planning using Univariate Linear Regression Analysis to forecast storage utilization based on historical repository usage data. The proposed model derives a regression equation that accurately represents storage growth trends and predicts future capacity requirements. The forecasting results enable administrators to proactively schedule storage expansion, optimize repository maintenance activities, and prevent unexpected service interruptions caused by storage exhaustion. Experimental evaluation demonstrates that the proposed approach achieves reliable prediction accuracy, reduces administrative effort, 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.
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