Capacity planning method for resource consolidation in mass cloud web hosting

Authors

DOI:

https://doi.org/10.18372/2073-4751.84.20905

Keywords:

cloud computing, hosting, Erlang formula, low-traffic web resources, dynamic scaling, clustering, SLA, resource optimization, queueing theory

Abstract

In this scientific article, a capacity planning method is proposed for resource consolidation in the mass cloud web hosting segment, based on mathematical modeling of aggregated stochastic loads and queueing theory. The method optimizes the allocation of RAM for low-traffic resources by consolidating traffic into a single computing pool while strictly maintaining the target reliability level (SLA 99.9%). Through simulation of the system’s weekly operating cycle, it is shown that the proposed method provides an integrated resource saving of 16%, mitigates the impact of stochastic load peaks, and reduces the provider’s operational costs without degrading service quality.

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Published

2025-12-30

How to Cite

Chyzhov, O., & Fesenko, A. (2025). Capacity planning method for resource consolidation in mass cloud web hosting. Problems of Informatization and Management, 4(84), 151–161. https://doi.org/10.18372/2073-4751.84.20905

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