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LM2K Model for Hosting an Application Based on Microservices in Multi-Cloud.
Carvalho, Juliana; Vieira, Dario; Rodrigues, Christiano; Trinta, Fernando.
Afiliação
  • Carvalho J; Information System Department, Federal University Piauí-(UFPI), Picos 64607-670, PI, Brazil.
  • Vieira D; Efrei Research Lab, EFREI Paris, 94800 Villejuif, France.
  • Rodrigues C; Efrei Research Lab, EFREI Paris, 94800 Villejuif, France.
  • Trinta F; Computing Department, Federal University Ceará-(UFC), Fortaleza 60440-900, CE, Brazil.
Sensors (Basel) ; 23(9)2023 May 02.
Article em En | MEDLINE | ID: mdl-37177654
Cloud computing has become a popular delivery model service, offering several advantages. However, there are still challenges that need to be addressed when applying the cloud model to specific scenarios. Two of such challenges involve deploying and executing applications across multiple providers, each comprising several services with similar functionalities and different capabilities. Therefore, dealing with application distributions across various providers can be a complex task for a software architect due to the differing characteristics of the application components. Some works have proposed solutions to address the challenges discussed here, but most of them focus on service providers. To facilitate the decision-making process of software architects, we previously presented PacificClouds, an architecture for managing the deployment and execution of applications based on microservices and distributed in a multi-cloud environment. Therefore, in this work, we focus on the challenges of selecting multiple clouds for PacificClouds and choosing providers that best meet the microservices and software architect requirements. We propose a selection model and three approaches to address various scenarios. We evaluate the performance of the approaches and conduct a comparative analysis of them. The results demonstrate their feasibility regarding performance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça