The Cloud Central Committee: A Case Study on Capacity Planning in Large IT Enterprises
Abstract
Large companies often decentralize into sub-organizations to accelerate decision-making. For instance, when using IaaS, these sub-organizations might independently purchase cloud resources. While flexible, such a decentralized approach can be more expensive than a company-wide, centralized strategy, due to a wider variation in usage patterns of sub-organizations. To investigate these trade-offs within the scenario of a major IaaS consumer, we analyzed multiple years of cloud purchase data from a partner company to quantify potential cost savings under different organizational models. Our findings show that centralization yielded significant savings, potentially reducing IaaS costs by nearly 9%, translating into millions of dollars in savings in this case study.
Keywords:
Cloud, Capacity Planning, Organizational Design
References
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Costa, R., Brasileiro, F. V., de Souza Filho, G. L., and Sousa, D. M. (2013). Analyzing the impact of elasticity on the profit of cloud computing providers. Future Gener. Comput. Syst., 29(7):1777–1785.
Cullen, J. B. and Perrewé, P. L. (1981). Decision making configurations: An alternative to the centralization/decentralization conceptualization. Journal of Management, 7(2):89–103.
den Bossche, R. V., Vanmechelen, K., and Broeckhove, J. (2014). Optimizing iaas reserved contract procurement using load prediction. In 2014 IEEE 7th International Conference on Cloud Computing, June 27 - July 2, 2014, pages 88–95. IEEE Computer Society.
Englehardt, C. S. and Simmons, P. R. (2002). Organizational flexibility for a changing world. Leadership & Organization Development Journal, 23(3):113–121.
Galvão, C., Pereira, T., Brasileiro, F., and Gomes, G. (2024). Costplanner: Planejamento de capacidade de longo prazo para clientes de provedores iaas. In Anais Estendidos do XLII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 277–282.
Wang, W., Liang, B., and Li, B. (2015). Optimal online multi-instance acquisition in iaas clouds. IEEE Trans. Parallel Distributed Syst., 26(12):3407–3419.
Wu, T., Pan, M., and Yu, Y. (2022). A long-term cloud workload prediction framework for reserved resource allocation. In IEEE International Conference on Services Computing, SCC 2022, Barcelona, Spain, July 10-16, 2022, pages 134–139. IEEE.
Yang, S., Pan, L., Wang, Q., Liu, S., and Zhang, S. (2018). Subscription or pay-as-you-go: Optimally purchasing iaas instances in public clouds. In 2018 IEEE ICWS, July 2-7, 2018, pages 219–226. IEEE.
Published
2025-05-19
How to Cite
SEREY, Pedro; GALVÃO, Caio; PEREIRA, Thiago Emmanuel; BRASILEIRO, Francisco Vilar; GOMES, Gabriel.
The Cloud Central Committee: A Case Study on Capacity Planning in Large IT Enterprises. In: INNOVATION AND INDUSTRY INTERACTION TRACK - BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 43. , 2025, Natal/RN.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 358-363.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc_estendido.2025.5891.
