dc.creator | Martínez Velásquez, Heberth Fabián | |
dc.creator | Mondragón Martínez, Oscar Hernán | |
dc.creator | Rubio Wilson, Helmut Alexander | |
dc.creator | Márquez Franco, Jack Daniel | |
dc.date.accessioned | 2023-05-15T19:24:40Z | |
dc.date.accessioned | 2023-06-06T15:08:10Z | |
dc.date.available | 2023-05-15T19:24:40Z | |
dc.date.available | 2023-06-06T15:08:10Z | |
dc.date.created | 2023-05-15T19:24:40Z | |
dc.date.issued | 2022-07-29 | |
dc.identifier | 2073431X | |
dc.identifier | https://hdl.handle.net/10614/14740 | |
dc.identifier | Universidad Autónoma de Occidente | |
dc.identifier | Repositorio Educativo Digital UAO | |
dc.identifier | https://red.uao.edu.co/ | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/6649586 | |
dc.description.abstract | Fault tolerance and the availability of applications, computing infrastructure, and commu-
nications 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 infrastruc-
ture 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. | |
dc.language | eng | |
dc.publisher | MDPI | |
dc.publisher | Basel, Suiza | |
dc.relation | 21 | |
dc.relation | 8 | |
dc.relation | 1 | |
dc.relation | 11 | |
dc.relation | 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), pp. 1-14 | |
dc.relation | Computers | |
dc.relation | 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 | |
dc.relation | 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. | |
dc.relation | 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. | |
dc.relation | 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. | |
dc.relation | 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 | |
dc.relation | 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 | |
dc.relation | 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 | |
dc.relation | 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 | |
dc.relation | 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. | |
dc.relation | 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). | |
dc.relation | Lee, S.; Levanti, K.; Kim, H.S. Network monitoring: Present and future. Comput. Netw. 2014, 65, 84–98 | |
dc.relation | Kurtzer, G.M.; Sochat, V.; Bauer, M.W. Singularity: Scientific containers for mobility of compute. PLoS ONE 2017, 12, e0177459 | |
dc.relation | 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 | |
dc.relation | 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. | |
dc.relation | 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 | |
dc.relation | 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 | |
dc.relation | 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. | |
dc.relation | Tang, X. Reliability-aware cost-efficient scientific workflows scheduling strategy on multi-cloud systems. IEEE Trans. Cloud Comput. 2021 | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | |
dc.rights | Derechos reservados - MDPI, 2022 | |
dc.title | Computational and communication infrastructure challenges for resilient cloud services | |
dc.type | Artículo de revista | |