Orquestração Automatizada de Serviços de Rede em Ambientes Multi-nuvem
Resumo
Em um ambiente multi-nuvem, a alocação de serviços virtuais precisa de critérios bem definidos para que as tomadas de decisões estejam alinhadas às necessidades do usuário final e às restrições de nuvens heterogêneas. Entretanto, existe uma lacuna de trabalhos que explorem os mecanismos capazes de fornecer dinamicamente as entradas para os diversos modelos de otimização desenvolvidos para resolver o problema de alocação multi-nuvem e aplicar a saída desses modelos nas nuvens de forma automatizada. Este artigo, propõe um orquestrador que é capaz de coletar autonomamente métricas dos serviços e da infraestrutura multi-nuvem, disponibilizá-los para um otimizador e aplicar as decisões de alocação dinâmica usando plataformas de nuvem comerciais.
Referências
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Bhamare, D. et al. (2017). Optimal virtual network function placement in multi-cloud service function chaining architecture. Computer Communications, 102:1–16.
Birje, M. N. et al. (2017). Cloud computing review: concepts, technology, challenges and security. International Journal of Cloud Computing, 6(1):32–57.
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IEEE Dietrich, D. et al. (2017). Multi-provider service chain embedding with nestor. Transactions on Network and Service Management, 14(1):91–105.
Guerzoni, R. et al. (2017). Analysis of end-to-end multi-domain management and orchestration frameworks for software defined infrastructures: an architectural survey. Transactions on Emerging Telecommunications Technologies, 28(4):e3103.
Gupta, L. et al. (2017). Colap: A predictive framework for service function chain placement in a multi-cloud environment. In 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), pages 1–9. IEEE.
Herrera, J. G. and Botero, J. F. (2016). Resource allocation in nfv: A comprehensive survey. IEEE Transactions on Network and Service Management, 13(3):518–532.
Laghrissi, A. and Taleb, T. (2018). A survey on the placement of virtual resources and virtual network functions. IEEE Communications Surveys & Tutorials, 21(2):1409– 1434.
Luizelli, M. C. et al. (2015). Piecing together the NFV provisioning puzzle: Efficient placement and chaining of virtual network functions. In 2015 IFIP/IEEE International Symposium on Integrated Network Management, pages 98–106, Ottawa.
Mamushiane, L. et al. (2019). Overview of 9 open-source resource orchestrating etsi mano compliant implementations: A brief survey. In 2019 IEEE 2nd Wireless Africa Conference (WAC), pages 1–7. IEEE.
Mijumbi, R. et al. (2016). Management and orchestration challenges in network functions virtualization. IEEE Communications Magazine, 54(1):98–105.
Odun-Ayo, I. et al. (2018). Cloud computing architecture: A critical analysis. In 2018 18th International Conference on Computational Science and Applications (ICCSA), pages 1–7. IEEE.
Qu, C., Calheiros, R. N., and Buyya, R. (2018). Auto-scaling web applications in clouds: A taxonomy and survey. ACM Computing Surveys (CSUR), 51(4):1–33.
Rosa, R. et al. (2014). Network function virtualization: Perspectivas, realidades e desafios. Minicursos SBRC.
Sun, G. et al. (2019). Energy-efficient and traffic-aware service function chaining orchestration in multi-domain networks. Future Generation Computer Systems, 91:347–360.
Bari, M. F. et al. (2015). On orchestrating virtual network functions. In Network and Service Management (CNSM), 11th International Conference on, pages 50–56. IEEE.
Bhamare, D. et al. (2017). Optimal virtual network function placement in multi-cloud service function chaining architecture. Computer Communications, 102:1–16.
Birje, M. N. et al. (2017). Cloud computing review: concepts, technology, challenges and security. International Journal of Cloud Computing, 6(1):32–57.
Cziva, R. and Pezaros, D. P. (2017). On the latency benets of edge nfv. In 2017 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), pages 105–106. IEEE.
de Sousa, N. F. S. et al. (2019). Network service orchestration: A survey. Computer Communications, 142:69–94.
IEEE Dietrich, D. et al. (2017). Multi-provider service chain embedding with nestor. Transactions on Network and Service Management, 14(1):91–105.
Guerzoni, R. et al. (2017). Analysis of end-to-end multi-domain management and orchestration frameworks for software defined infrastructures: an architectural survey. Transactions on Emerging Telecommunications Technologies, 28(4):e3103.
Gupta, L. et al. (2017). Colap: A predictive framework for service function chain placement in a multi-cloud environment. In 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), pages 1–9. IEEE.
Herrera, J. G. and Botero, J. F. (2016). Resource allocation in nfv: A comprehensive survey. IEEE Transactions on Network and Service Management, 13(3):518–532.
Laghrissi, A. and Taleb, T. (2018). A survey on the placement of virtual resources and virtual network functions. IEEE Communications Surveys & Tutorials, 21(2):1409– 1434.
Luizelli, M. C. et al. (2015). Piecing together the NFV provisioning puzzle: Efficient placement and chaining of virtual network functions. In 2015 IFIP/IEEE International Symposium on Integrated Network Management, pages 98–106, Ottawa.
Mamushiane, L. et al. (2019). Overview of 9 open-source resource orchestrating etsi mano compliant implementations: A brief survey. In 2019 IEEE 2nd Wireless Africa Conference (WAC), pages 1–7. IEEE.
Mijumbi, R. et al. (2016). Management and orchestration challenges in network functions virtualization. IEEE Communications Magazine, 54(1):98–105.
Odun-Ayo, I. et al. (2018). Cloud computing architecture: A critical analysis. In 2018 18th International Conference on Computational Science and Applications (ICCSA), pages 1–7. IEEE.
Qu, C., Calheiros, R. N., and Buyya, R. (2018). Auto-scaling web applications in clouds: A taxonomy and survey. ACM Computing Surveys (CSUR), 51(4):1–33.
Rosa, R. et al. (2014). Network function virtualization: Perspectivas, realidades e desafios. Minicursos SBRC.
Sun, G. et al. (2019). Energy-efficient and traffic-aware service function chaining orchestration in multi-domain networks. Future Generation Computer Systems, 91:347–360.
Publicado
16/08/2021
Como Citar
SANTOS, Laudelino A. dos; MACHADO, Harrison F. S.; RESENDO, Leandro C.; MONTEIRO, Maxwell E.; VASSOLER, Gilmar L.; DOMINICINI, Cristina K..
Orquestração Automatizada de Serviços de Rede em Ambientes Multi-nuvem. In: SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 39. , 2021, Uberlândia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 420-433.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc.2021.16737.
