Abstract
The cloud computing space is enjoying a renaissance. Not long ago, cloud computing was confined to the wall of high-revenue companies, but in recent times a growing number of businesses, public and private institutions are turning to the cloud computing platform to reap the benefits of a self-service, scalable, and flexible infrastructure. Moreover, with the increased implementation, advantages, and popularity of artificial intelligence, the demand for computing environments to solve age-old problems such as malaria and cancer is on the rise. This paper presents the implementation of a cloud computing infrastructure, the FEDerated GENomics (FEDGEN) Testbed, to provide an adequate IT environment for cancer and malaria researchers. The cloud computing environment is built using Openstack middleware. OpenStack is deployed using Metal-As-A-Service (MAAS) and Juju. Virtual Machines (Instances) were deployed, and services (JupiterHub) were installed on the FEDGEN testbed. The built infrastructure would allow the running of models requiring high computing power and would allow for collaboration among teams.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bello, S.A., et al.: Cloud computing in construction industry: use cases, benefits and challenges. Autom. Constr. 122, 103441 (2021). https://doi.org/10.1016/j.autcon.2020.103441
Hua, G.-J., Tang, C.Y., Hung, C.-L., Lin, Y.-L.: Cloud computing service framework for bioinformatics tools. In: 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1509–1513, November 2015. https://doi.org/10.1109/BIBM.2015.7359899
Boehmer, U.: Twenty years of public health research: inclusion of lesbian, gay, bisexual, and transgender populations. Am. J. Public Health 92(7), 1125 (2002). https://doi.org/10.2105/AJPH.92.7.1125
DeVita, V.T.J., Rosenberg, S.A.: Two hundred years of cancer research. New Engl. J. Med. 366(23), 2207–2214 (2012). https://doi.org/10.1056/NEJMRA1204479. http://dx.doi.org/10.1056/NEJMra1204479
Ajayi, O.O., Bagula, A.B., Ma, K.: Fourth industrial revolution for development: the relevance of cloud federation in healthcare support. IEEE Access 7, 185322–185337 (2019). https://doi.org/10.1109/ACCESS.2019.2960615
Ismaeel, S., Miri, A., Chourishi, D., Reza Dibaj, S.M.: Open source cloud management platforms: a review. In: 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing, pp. 470–475, November 2015. https://doi.org/10.1109/CSCloud.2015.84
Chadwick, D.W., Siu, K., Lee, C., Fouillat, Y., Germonville, D.: Adding federated identity management to openstack. J. Grid Comput. 12(1), 3–27 (2013). https://doi.org/10.1007/s10723-013-9283-2
Xu, Q., Liu, J., Xian, M., Wang, H.: Construction of network scene generation system based on openstack. In: 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), pp. 2319–2322, December 2020. https://doi.org/10.1109/ICMCCE51767.2020.00501
“ESFRI Roadmap 2016” (2016)
Salomoni, D., et al.: INDIGO-DataCloud: a platform to facilitate seamless access to E-infrastructures. J. Grid Comput. 16(3), 381–408 (2018). https://doi.org/10.1007/s10723-018-9453-3
Kranzlmüller, D., de Lucas, J.M., Öster, P.: The European grid initiative (EGI). In: Remote Instrumentation and Virtual Laboratories, pp. 61–66 (2010). https://doi.org/10.1007/978-1-4419-5597-5_6
De Almeida, A.V., Borges, M.M., Roque, L.: The European open science cloud: a new challenge for Europe. In: International Conference Proceedings Series, vol. Part F132203, October 2017. https://doi.org/10.1145/3144826.3145382
Jones, B., Casu, F.: Helix Nebula - the Science Cloud: a public-private partnership to build a multidisciplinary cloud platform for data intensive science. EGUGA, pp. EGU2013–1510 (2013)
Monna, S., et al.: INDIGO-DATA CLOUD EC project: a study case applied to one of the EMSO Research Infrastructure Deep sea Observatories (2016)
EGI: EGI: advanced computing for research (2020)
Schulz, J.C.: Überlegungen zur Steuerung einer föderativen Infrastruktur am Beispiel von bwCloud. In: Kooperation von Rechenzentren, De Gruyter Oldenbourg, pp. 221–242 (2016)
Attardi, G., Barchiesi, A., Colla, A., Galeazzi, F., Marzulli, G., Reale, M.: Declarative modeling for building a cloud federation and cloud applications, pp. 1–23 (2017)
Musavi, P., Adams, B., Khomh, F.: Experience report: an empirical study of API failures in OpenStack cloud environments. In: Proceedings of the International Symposium on Software Reliability Engineering, ISSRE, pp. 424–434, December 2016. https://doi.org/10.1109/ISSRE.2016.42
Rosado, T., Bernardino, J.: An overview of Openstack architecture. ACM International Conference on Proceeding Series, pp. 366–367 (2014). https://doi.org/10.1145/2628194.2628195
Inukonda, M.S., Mittal, S., Kottapalli, S.H.: A solution architecture of bare-metal as a service cloud using open-source tools. Research Gate (2019)
Libri, A., Bartolini, A., Benini, L.: DiG: enabling out-of-band scalable high-resolution monitoring for data-center analytics, automation and control (extended). Clust. Comput. 24(4), 2723–2734 (2021). https://doi.org/10.1007/s10586-020-03219-7
Tesfamicael, A.D., Liu, V., Caelli, W.: Design and implementation of unified communications as a service based on the open stack cloud environment. In: Proceedings - 2015 IEEE International Conference on Computational Intelligence and Communication Technology, CICT 2015, pp. 117–122, April 2015. https://doi.org/10.1109/CICT.2015.133
Paladi, N., Gehrmann, C., Aslam, M., Morenius, F.: Trusted launch of virtual machine instances in public IaaS environments. In: Kwon, T., Lee, M.-K., Kwon, D. (eds.) ICISC 2012. LNCS, vol. 7839, pp. 309–323. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37682-5_22
Basin, D., Schaller, P., Schläpfer, M.: Logging and log analysis. Appl. Inf. Secur., 69–80 (2011). https://doi.org/10.1007/978-3-642-24474-2_5
Fernández, R.A.L., Hagenrud, H., Korhonen, T., Laface, E.: Jupyterhub at the ESS. An Interactive Python Computing Environment for Scientists and Engineers (2016)
Milligan, M.: Interactive HPC gateways with jupyter and jupyterhub. In: ACM International Conference Proceeding Series, vol. Part F128771, July 2017. https://doi.org/10.1145/3093338.3104159
Johnson, S., et al.: A framework of e-learning education clouds to efficiency and personalization. In: Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016, pp. 26–30, October 2016. https://doi.org/10.1109/ICISCE.2016.17
Madhav, N., Joseph, M.K.: Cloud-based virtual computing labs for HEIs. In: 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies, EmergiTech 2016, pp. 373–377, November 2016. https://doi.org/10.1109/EMERGITECH.2016.7737369
Acknowledgements
The authors acknowledge the Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE) domiciled at Covenant University for funding this work with the ACE Impact grant from World Bank through the National University Commission, Nigeria. The Covenant University Center for Research, Innovation and Discovery (CUCRID), Covenant University is also acknowledged for providing fund towards the publication of this study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Adetiba, E. et al. (2022). FEDGEN Testbed: A Federated Genomics Private Cloud Infrastructure for Precision Medicine and Artificial Intelligence Research. In: Misra, S., Oluranti, J., Damaševičius, R., Maskeliunas, R. (eds) Informatics and Intelligent Applications. ICIIA 2021. Communications in Computer and Information Science, vol 1547. Springer, Cham. https://doi.org/10.1007/978-3-030-95630-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-95630-1_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-95629-5
Online ISBN: 978-3-030-95630-1
eBook Packages: Computer ScienceComputer Science (R0)