Computational and communication infrastructure challenges for resilient cloud services
Fault tolerance and the availability of applications, computing infrastructure, and communications systems during unexpected events are critical in cloud environments. The microservices architecture, and the technologies that it uses, should be able to maintain acceptable service levels in the face...
- Autores:
-
Martínez Velásquez, Heberth Fabián
Mondragón Martínez, Oscar Hernán
Rubio Wilson, Helmut Alexander
Márquez Franco, Jack Daniel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/14740
- Acceso en línea:
- https://hdl.handle.net/10614/14740
https://red.uao.edu.co/
- Palabra clave:
- Arquitectura en la nube
Cloud computing architecture
Resilience mechanisms
Fault tolerance
Computational platform
Kubernetes
Microservices
- Rights
- openAccess
- License
- Derechos reservados - MDPI, 2022
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Computational and communication infrastructure challenges for resilient cloud services |
| title |
Computational and communication infrastructure challenges for resilient cloud services |
| spellingShingle |
Computational and communication infrastructure challenges for resilient cloud services Arquitectura en la nube Cloud computing architecture Resilience mechanisms Fault tolerance Computational platform Kubernetes Microservices |
| title_short |
Computational and communication infrastructure challenges for resilient cloud services |
| title_full |
Computational and communication infrastructure challenges for resilient cloud services |
| title_fullStr |
Computational and communication infrastructure challenges for resilient cloud services |
| title_full_unstemmed |
Computational and communication infrastructure challenges for resilient cloud services |
| title_sort |
Computational and communication infrastructure challenges for resilient cloud services |
| dc.creator.fl_str_mv |
Martínez Velásquez, Heberth Fabián Mondragón Martínez, Oscar Hernán Rubio Wilson, Helmut Alexander Márquez Franco, Jack Daniel |
| dc.contributor.author.none.fl_str_mv |
Martínez Velásquez, Heberth Fabián Mondragón Martínez, Oscar Hernán Rubio Wilson, Helmut Alexander Márquez Franco, Jack Daniel |
| dc.subject.armarc.spa.fl_str_mv |
Arquitectura en la nube |
| topic |
Arquitectura en la nube Cloud computing architecture Resilience mechanisms Fault tolerance Computational platform Kubernetes Microservices |
| dc.subject.armarc.eng.fl_str_mv |
Cloud computing architecture |
| dc.subject.proposal.eng.fl_str_mv |
Resilience mechanisms Fault tolerance Computational platform Kubernetes Microservices |
| description |
Fault tolerance and the availability of applications, computing infrastructure, and communications systems during unexpected events are critical in cloud environments. The microservices architecture, and the technologies that it uses, should be able to maintain acceptable service levels in the face of adverse circumstances. In this paper, we discuss the challenges faced by cloud infrastructure in relation to providing resilience to applications. Based on this analysis, we present our approach for a software platform based on a microservices architecture, as well as the resilience mechanisms to mitigate the impact of infrastructure failures on the availability of applications. We demonstrate the capacity of our platform to provide resilience to analytics applications, minimizing service interruptions and keeping acceptable response times. |
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2022 |
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2022-07-29 |
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2023-05-15T19:24:40Z |
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2023-05-15T19:24:40Z |
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https://hdl.handle.net/10614/14740 |
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Universidad Autónoma de Occidente |
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Repositorio Educativo Digital UAO |
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Martínez Velásquez, H. F., Mondragón Martínez, O. H., Rubio Wilson, H. A., Márquez Franco, J. D. (2022). Computational and Communication Infrastructure Challenges for Resilient Cloud Services. Computers, 11(8), 1-14. https://hdl.handle.net/10614/14740 |
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Computers |
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Abdullah, M.; Iqbal, W.; Bukhari, F.; Erradi, A. Diminishing returns and deep learning for adaptive CPU resource allocation of containers. IEEE Trans. Netw. Serv. Manag. 2020, 17, 2052–2063 Pueyo Centelles, R.; Freitag, F.; Meseguer, R.; Navarro, L.; Ochoa, S.; Santos, R. A LoRa-Based Communication System for Coordinated Response in an Earthquake Aftermath. Proceedings 2019, 31, 73. Oliveira, L.; Rodrigues, J.J.; Kozlov, S.A.; Rabêlo, R.A.; Furtado, V. Performance assessment of long-range and Sigfox protocols with mobility support. Int. J. Commun. Syst. 2019, 32, e3956. Hinds, A.; Ngulube, M.; Zhu, S.; Al-Aqrabi, H. A review of routing protocols for mobile ad-hoc networks (manet). Int. J. Inf. Educ. Technol. 2013, 3, 1. Jorguseski, L.; Pais, A.; Gunnarsson, F.; Centonza, A.; Willcock, C. Self-organizing networks in 3GPP: Standardization and future trends. IEEE Commun. Mag. 2014, 52, 28–34 Arzani, B.; Gurney, A.; Cheng, S.; Guerin, R.; Loo, B.T. Deconstructing MPTCP performance. In Proceedings of the 2014 IEEE 22nd International Conference on Network Protocols, Raleigh, NC, USA, 21–24 October 2014; pp. 269–274 Feamster, N.; Rexford, J.; Zegura, E. The road to SDN: An intellectual history of programmable networks. ACM SIGCOMM Comput. Commun. Rev. 2014, 44, 87–98 Machado, C.C.; Granville, L.Z.; Schaeffer-Filho, A. ANSwer: Combining NFV and SDN features for network resilience strategies. In Proceedings of the 2016 IEEE Symposium on Computers and Communication (ISCC), Messina, Italy, 27–30 June 2016; pp. 391–396 Cérin, C.; Menouer, T.; Saad, W.; Abdallah, W.B. A new docker swarm scheduling strategy. In Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), Kanazawa, Japan, 22–25 November 2017; pp. 112–117. Buchanan, S.; Rangama, J. Deploying and Using Rancher with Azure Kubernetes Service. Available online: https://link.springer. com/chapter/10.1007/978-1-4842-5519-3_6 (accessed on 12 July 2022). Lee, S.; Levanti, K.; Kim, H.S. Network monitoring: Present and future. Comput. Netw. 2014, 65, 84–98 Kurtzer, G.M.; Sochat, V.; Bauer, M.W. Singularity: Scientific containers for mobility of compute. PLoS ONE 2017, 12, e0177459 Mirkin, A.; Kuznetsov, A.; Kolyshkin, K. Containers checkpointing and live migration. In Proceedings of the Linux Symposium, Ottawa, ON, Canada, 23–26 July 2008; Volume 2, pp. 85–90 de Carvalho, J.O.; Trinta, F.; Vieira, D. PacificClouds: A Flexible MicroServices based Architecture for Interoperability in Multi-Cloud Environments. In Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), Funchal, Portugal, 19–21 March 2018; pp. 448–455. Solarte, Z.; Gonzalez, J.D.; Peña, L.; Mondragon, O.H. Microservices-Based Architecture for Resilient Cities Applications. In Proceedings of the International Conference on Advanced Engineering Theory and Applications, Bogota, Colombia, 6–8 November 2019; pp. 423–432 Zhou, Z.; Zhang, H.; Du, X.; Li, P.; Yu, X. Prometheus: Privacy-aware data retrieval on hybrid cloud. In Proceedings of the 2013 Proceedings IEEE INFOCOM, Turin, Italy, 14–19 April 2013; pp. 2643–2651 Zhang, P.Y.; Chen, Y.T.; Zhou, M.C.; Xu, G.; Huang, W.J.; Al-Turki, Y.; Abusorrah, A. A Fault-tolerant Model for Performance Optimization of a Fog Computing System. IEEE Internet Things J. 2021, 9, 1725–1736. Tang, X. Reliability-aware cost-efficient scientific workflows scheduling strategy on multi-cloud systems. IEEE Trans. Cloud Comput. 2021 |
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Derechos reservados - MDPI, 2022 |
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Martínez Velásquez, Heberth Fabián70ad2205b350faf1319157db76307a8eMondragón Martínez, Oscar Hernánvirtual::3377-1Rubio Wilson, Helmut Alexandervirtual::4503-1Márquez Franco, Jack Daniel3dc5c052199793a585f8feb9164285322023-05-15T19:24:40Z2023-05-15T19:24:40Z2022-07-292073431Xhttps://hdl.handle.net/10614/14740Universidad Autónoma de OccidenteRepositorio Educativo Digital UAOhttps://red.uao.edu.co/Fault tolerance and the availability of applications, computing infrastructure, and communications systems during unexpected events are critical in cloud environments. The microservices architecture, and the technologies that it uses, should be able to maintain acceptable service levels in the face of adverse circumstances. In this paper, we discuss the challenges faced by cloud infrastructure in relation to providing resilience to applications. Based on this analysis, we present our approach for a software platform based on a microservices architecture, as well as the resilience mechanisms to mitigate the impact of infrastructure failures on the availability of applications. We demonstrate the capacity of our platform to provide resilience to analytics applications, minimizing service interruptions and keeping acceptable response times. 21 páginasapplication/pdfengMDPIBasel, SuizaDerechos reservados - MDPI, 2022https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Computational and communication infrastructure challenges for resilient cloud servicesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Arquitectura en la nubeCloud computing architectureResilience mechanismsFault toleranceComputational platformKubernetesMicroservices218111Martínez Velásquez, H. F., Mondragón Martínez, O. H., Rubio Wilson, H. A., Márquez Franco, J. D. (2022). Computational and Communication Infrastructure Challenges for Resilient Cloud Services. Computers, 11(8), 1-14. https://hdl.handle.net/10614/14740ComputersAbdullah, M.; Iqbal, W.; Bukhari, F.; Erradi, A. Diminishing returns and deep learning for adaptive CPU resource allocation of containers. IEEE Trans. Netw. Serv. Manag. 2020, 17, 2052–2063Pueyo Centelles, R.; Freitag, F.; Meseguer, R.; Navarro, L.; Ochoa, S.; Santos, R. A LoRa-Based Communication System for Coordinated Response in an Earthquake Aftermath. Proceedings 2019, 31, 73.Oliveira, L.; Rodrigues, J.J.; Kozlov, S.A.; Rabêlo, R.A.; Furtado, V. Performance assessment of long-range and Sigfox protocols with mobility support. Int. J. Commun. Syst. 2019, 32, e3956.Hinds, A.; Ngulube, M.; Zhu, S.; Al-Aqrabi, H. A review of routing protocols for mobile ad-hoc networks (manet). Int. J. Inf. Educ. Technol. 2013, 3, 1.Jorguseski, L.; Pais, A.; Gunnarsson, F.; Centonza, A.; Willcock, C. Self-organizing networks in 3GPP: Standardization and future trends. IEEE Commun. Mag. 2014, 52, 28–34Arzani, B.; Gurney, A.; Cheng, S.; Guerin, R.; Loo, B.T. Deconstructing MPTCP performance. In Proceedings of the 2014 IEEE 22nd International Conference on Network Protocols, Raleigh, NC, USA, 21–24 October 2014; pp. 269–274Feamster, N.; Rexford, J.; Zegura, E. The road to SDN: An intellectual history of programmable networks. ACM SIGCOMM Comput. Commun. Rev. 2014, 44, 87–98Machado, C.C.; Granville, L.Z.; Schaeffer-Filho, A. ANSwer: Combining NFV and SDN features for network resilience strategies. In Proceedings of the 2016 IEEE Symposium on Computers and Communication (ISCC), Messina, Italy, 27–30 June 2016; pp. 391–396Cérin, C.; Menouer, T.; Saad, W.; Abdallah, W.B. A new docker swarm scheduling strategy. In Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), Kanazawa, Japan, 22–25 November 2017; pp. 112–117.Buchanan, S.; Rangama, J. Deploying and Using Rancher with Azure Kubernetes Service. Available online: https://link.springer. com/chapter/10.1007/978-1-4842-5519-3_6 (accessed on 12 July 2022).Lee, S.; Levanti, K.; Kim, H.S. Network monitoring: Present and future. Comput. Netw. 2014, 65, 84–98Kurtzer, G.M.; Sochat, V.; Bauer, M.W. Singularity: Scientific containers for mobility of compute. PLoS ONE 2017, 12, e0177459Mirkin, A.; Kuznetsov, A.; Kolyshkin, K. Containers checkpointing and live migration. In Proceedings of the Linux Symposium, Ottawa, ON, Canada, 23–26 July 2008; Volume 2, pp. 85–90de Carvalho, J.O.; Trinta, F.; Vieira, D. PacificClouds: A Flexible MicroServices based Architecture for Interoperability in Multi-Cloud Environments. In Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), Funchal, Portugal, 19–21 March 2018; pp. 448–455.Solarte, Z.; Gonzalez, J.D.; Peña, L.; Mondragon, O.H. Microservices-Based Architecture for Resilient Cities Applications. In Proceedings of the International Conference on Advanced Engineering Theory and Applications, Bogota, Colombia, 6–8 November 2019; pp. 423–432Zhou, Z.; Zhang, H.; Du, X.; Li, P.; Yu, X. Prometheus: Privacy-aware data retrieval on hybrid cloud. In Proceedings of the 2013 Proceedings IEEE INFOCOM, Turin, Italy, 14–19 April 2013; pp. 2643–2651Zhang, P.Y.; Chen, Y.T.; Zhou, M.C.; Xu, G.; Huang, W.J.; Al-Turki, Y.; Abusorrah, A. A Fault-tolerant Model for Performance Optimization of a Fog Computing System. IEEE Internet Things J. 2021, 9, 1725–1736.Tang, X. Reliability-aware cost-efficient scientific workflows scheduling strategy on multi-cloud systems. IEEE Trans. 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