Models for hyper-converged cloud computing infrastructures planning
by Carlos Melo; Jamilson Dantas; Paulo Maciel; Danilo Mendonça Oliveira; Jean Araujo; Rubens Matos; Iure Fé
International Journal of Grid and Utility Computing (IJGUC), Vol. 11, No. 2, 2020

Abstract: The Data Centre concept has evolved, mainly due to the need to reduce expenses with the required physical space to store, provide and maintain large computational infrastructures. The Software-Defined Data Centre (SDDC) is a result of this evolution. Through SDDC, any service can be hosted by virtualising more reliable and easier-to-keep hardware resources. Nowadays, many services and resources can be provided in a single rack, or even a single machine, with similar availability, considering the deployment costs of silo-based environments. One of the ways to apply the SDDC into a data centre is through hyper-convergence. Among the main contributions of this paper are the behavioural models developed for availability and capacity-oriented availability evaluation of silo-based, converged and hyper-converged cloud computing infrastructures. The obtained results may help stakeholders to select between converged and hyper-converged environments, due to their similar availability but with the particularity of having lower deployment costs.

Online publication date: Tue, 03-Mar-2020

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