Orquestração Automatizada de Serviços de Rede em Ambientes Multi-nuvem

• Laudelino A. dos Santos IFES
• Harrison F. S. Machado IFES
• Leandro C. Resendo IFES
• Maxwell E. Monteiro IFES
• Gilmar L. Vassoler IFES
• Cristina K. Dominicini IFES

DOI: https://doi.org/10.5753/sbrc.2021.16737

Abstract

In a multi-cloud environment, the allocation of virtual services needs well defined criteria so that decision making is aligned with end-user needs and heterogeneous cloud constraints. However, there is a lack of works that explore mechanisms capable of dynamically providing inputs to the various optimization models developed to solve the multi-cloud allocation problem and automatically apply the output of these models to the clouds. This article proposes an orchestrator that is able to autonomously collect metrics from services and multi-cloud infrastructure, make them available to an optimizer, and apply dynamic allocation decisions using commercial cloud platforms.

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