Abstract
Modern scientific research challenges require new technologies, integrated tools, reusable and complex experiments in distributed computing infrastructures. But above all, computing power for efficient data processing and analyzing. Containers technologies have emerged as a new paradigm to address such intensive scientific applications problems. Their easy deployment in a reasonable amount of time and the few required computational resource make them more suitable. Containers are considered light virtualization solutions. They enable performance isolation and flexible deployment of complex, parallel, and high-performance systems. Moreover, they gained popularity to modernize and migrate scientific applications in computing infrastructure management. Additionally, they reduce computational time processing. In this paper, we first give an overview of virtualization and containerization technologies. We discuss the taxonomies of containerization technologies of the literature, and then we provide a new one that covers and completes those proposed in the literature. We identify the most important application domains of containerization and their technological progress. Furthermore, we discuss the performance metrics used in most containerization techniques. Finally, we point out research gaps in the related aspects of containerization technology that require more research.





Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Bermejo B, Juiz C, Guerrero C (2019) Virtualization and consolidation: a systematic review of the past 10 years of research on energy and performance. J Supercomput 75(2):808–836
Menouer T, Darmon P (2019) Containers scheduling consolidation approach for cloud computing. In: Esposito C, Hong J, Choo KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN. Communications in Computer and Information Science, vol. 1080
Zheng L, et al. (2017) Performance overhead comparison between hypervisor and container based virtualization, IEEE 31st International Conference on Advanced Information Networking and Applications (AINA) pp. 955–962
Chae M, Lee H, Lee K (2019) A performance comparison of linux containers and virtual machines using Docker and KVM. Cluster Comput 22:1765–1775. https://doi.org/10.1007/s10586-017-1511-2
Yu B, Tian J, Ma S, Yi S, Yu D (2011) Gird or cloud? Survey on scientific computing infrastructure, IEEE International Conference on Cloud Computing and Intelligence Systems, Beijing, pp. 244–249
Zhang Q, Liu L, Pu C, Dou Q, Wu L, Zhou W (2018) A comparative study of containers and virtual machines in big data environment. In: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD). San Francisco, CA, pp 178–185. https://doi.org/10.1109/CLOUD.2018.00030
Linux containers LXC, [Online] available March 2020: https://linuxcontainers.org/
Eric Chiang Containers from Scratch. [Online], available March 2020: https://ericchiang.github.io/post/containers-from-scratch/#container-file-system
Campeanu G (2018) A mapping study on microservice architectures of Internet of Things and cloud computing solutions, 2018 7th Mediterranean Conference on Embedded Computing (MECO), Budva, pp. 1–4, doi: https://doi.org/10.1109/MECO.2018.8406008
OpenVZlinu containers, [online] available April 2020: http://openvz.org/
Docker, [Online] available April 2020: https://docs.docker.com
Singularity, [Online], available April 2020: https://www.sylabs.io/docs/
uDocker. [Online], available April 2020: https://github.com/indigo-dc/udocker
Beltre AM, Saha P, Govindaraju M, Younge A, Grant RE (2019) Enabling HPC workloads on cloud infrastructure using kubernetes container orchestration mechanisms. Paper presented at 2019 IEEE/ACM International Workshop on Containers and New Orchestration Paradigms forIsolated Environments in HPC(CANOPIE-HPC), Denver, CO, USA, 2019, pp. 11-20. doi: https://doi.org/10.1109/CANOPIE-HPC49598.2019.00007
The apache software foundation. Mesos, apache. [Online], available April 2020: http://mesos.apache.org/
Kubernetes, [online], available July 2020 : https://kubernetes.io/
RedHat Openshift.[Online], available April 2020: https://www.redhat.com/en/technologies/cloud-computing/openshift
Pahl C, Brogi A, Soldani J, Jamshidi P (2019) Cloud container technologies: a state-of-the-art review," in IEEE Transactions on Cloud Computing, 1 July–Sept. 2019, vol. 7, no. 3, pp. 677–692
Azab A (2017) Enabling docker containers for high-performance and many-task computing," IEEE International Conference on Cloud Engineering (IC2E), Vancouver, BC , pp. 279–285, doi: https://doi.org/10.1109/IC2E.2017.52
Lingayat A Badre RR, A. K. Gupta AK (2018) Integration of linux containers in openstack: an introspection. Indones J Electr Eng Comput Sci. Vol. 12, no. 3
Wang B, Xie J, Li S, Wan Y, Fu S, Lu K (2018) Enabling high-performance onboard computing with virtualization for unmanned aerial systems", 2018 International Conference on Unmanned Aircraft Systems (ICUAS), Dallas, TX, 2018, pp. 202–211.doi: https://doi.org/10.1109/ICUAS.2018.8453368
VMware_paravirtualization. [Online], available April 2020: https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/techpaper/VMware_paravirtualization.pdf
Bazm M, Lacoste M, Südholt M et al (2019) Isolation in cloud computing infrastructures: new security challenges. Ann Telecommun 74:197–209
VMWare. [Online], available April 2020: http://www.vmware.com
Xen. [Online], available April 2020: https://xenproject.org/
KVM “Kernel based Virtual Machines”. [Online] Available April 2020: https://www.redhat.com/fr/topics/virtualization/what-is-KVM
Wei M, Lin Y, Lee C (2019) Performance optimization for InfiniBand virtualization on QEMU/KVM," 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Sydney, Australia, 2019, pp. 19–26
Masdari M, Zangakani M (2019) Green cloud computing using proactive virtual machine placement: challenges and issues. J Grid Computing. https://doi.org/10.1007/s10723-019-09489-9
Sultan S, Ahmad I, Dimitriou T (2019) Container security: issues, challenges, and the road ahead. IEEE Access 7:52976–52996. https://doi.org/10.1109/ACCESS.2019.2911732
Stephen S et al Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. SIGOPS Oper. Syst. Rev., pp 275–287. ISSN 0163–5980. https://doi.org/10.1145/1272998.1273025
Maenhaut P, Volckaert B, Ongenae V et al (2020) Resource management in a containerized cloud: status and challenges. J NetwSyst Manage 28:197–246
Á. Kovács 2017 "Comparison of different Linux containers," 2017 40th International Conference on Telecommunications and Signal Processing (TSP), Barcelona, pp. 47–51, doi: https://doi.org/10.1109/TSP.2017.8075934
Marcel (2018) Performance evaluation of mikroTik-based virtual machine for small-scale network virtualization on VMware Platform. In: 2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC), 2018, pp 154-158. https://doi.org/10.1109/ICCEREC.2018.8712000
Lingayat A, Badre RR, Kumar Gupta A (2018) Performance evaluation for deploying docker containers on baremetal and virtual machine. In: 2018 3rd International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, «pp. 1019–1023, doi: https://doi.org/10.1109/CESYS.2018.8723998
Openstack, Cloud operating system [Online], available June 2020: https://openstack.org
Aruna K, Pradeep G (2020) Performance and scalability improvement using IoT-based edge computing container technologies. SN COMPUT SCI 1:91. https://doi.org/10.1007/s42979-020-0106-9
Barika M, Garg S, Zomaya AY, van Lizhe Wang A, Moorsel, Rajiv R (2019) Orchestrating big data analysis workflows in the cloud: research challenges, survey, and future directions. ACM Comput Surv 52:1–37. https://doi.org/10.1145/3332301
Socker: A wrapper for secure running of docker containers on slurm, A. Azab, [online] Available June 2020: https://github.com/unioslo/socker
Raicu I, Foster IT, Zhao Y (2008) Many-task computing for grids and supercomputers", Many-Task Computing on Grids and Supercomputers 2008. MTAGS 2008. Workshop on, pp. 1–11
Dominic L, Sukhpal SG, Peter G (2019) PRISM: an experiment framework for straggler analytics in containerized clusters. In Proceedings of the 5th International Workshop on Container Technologies and Container Clouds (WOC ’19).2019, pp. Association for Computing Machinery, New York, NY, USA, 13–18
Chen J et al. (2018) Build and execution environment (BEE): an encapsulated environment enabling HPC applications running everywhere," 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 1737–1746, doi: https://doi.org/10.1109/BigData.2018
Smith JE, Nair R (2005) Virtual machines: versatile platforms for systems and processes. The Morgan Kaufmann Series in Computer Architecture and Design Series. Morgan Kaufmann Publishers; 2005
Li X, Jiang Y, Ding Y, Wei D, Ma X, Li W (2010) Application research of docker based on mesos application container cluster," 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL), 2020, 476–479, Doi:https://doi.org/10.1109/CVIDL51233.2020.00-47
Sergei A, Bohdan T, Franz G, Thomas K, Andre M, Christian P, Joshua L, Divya M, Dan O'Keeffe, Mark L. Stillwell, David G, David E, Rüdiger K, Peter P, Christof F (2016) SCONE: secure Linux containers with Intel SGX. In: Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation (OSDI'16). USENIX Association, USA, 689–703
Docker Hub. [online], available 20 April 2020: https://hub.docker.com/
Hu G, Zhang Y, Chen W (2019) Exploring the performance of singularity for high performance computing scenarios. In: 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Zhangjiajie, China, 2019, pp. 2587–2593. https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00362
Zhang J, Lu X, Panda DK (2017) Is singularity-based container technology ready for running MPI applications on HPC clouds", Proceedings of the l0th International Conference on Utility and Cloud Computing,
Salomoni D et al (2018) INDIGO-DataCloud: aplatform to facilitate seamless access to e-infrastructures. J Grid Comput. 163:381–408
Gomes J, Bagnaschi E, Campos I, David M, Alves L, Martins J, Pina J, López-García A, Orviz P (2018) Enabling rootless Linux Containers in multi-user environments: the udocker tool. Comput Phys Commun 232:84–97. https://doi.org/10.1016/j.cpc.2018.05.021
Kurtzer GM, Sochat V, Bauer MW (2017) Singularity: scientific containers for mobility of compute. PLoS ONE 12(5):e0177459. https://doi.org/10.1371/journal.pone.0177459
Silva V, Kirikova M, Alksnis G (2018) Containers for virtualization: an overview. Appl Comput Syst. 23(1):21–27
De Lauretis L (2019) From monolithic architecture to micro-services architecture. 2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), Berlin, Germany, pp. 93–96, doi: https://doi.org/10.1109/ISSREW.2019.00050
Yang M, Huang M (2019) An micro-services-based openstack monitoring tool. In: 2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, pp. 706–709, doi: https://doi.org/10.1109/ICSESS47205.2019.9040740..
Wilhelm H ( 2016) Micro-services for Scalability: Keynote Talk Abstract. In Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering (ICPE ’16). Association for Computing Machinery, New York, NY, USA, 133–134
Li L, Tang T, Chou W (2015) A REST service framework for fine-grained resource management in container-based cloud," 2015 IEEE 8th International Conference on Cloud Computing, New York, NY, pp. 645–652, Doi: https://doi.org/10.1109/CLOUD.2015.91
Jha DN, Garg S, Jayaraman PP, Buyya R, Li Z, Ranjan R (2018) A holistic evaluation of docker containers for interfering micro-services. In: 2018 IEEE International Conference on Services Computing (SCC), San Francisco, CA, pp 33–40. https://doi.org/10.1109/SCC.2018.00012
Sampaio AR, et al. (2017) Supporting microservice evolution. 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), Shanghai, pp. 539–543, doi: https://doi.org/10.1109/ICSME.2017.63
Cesar de la Torre C (2016) Containerized docker application lifecycle with microsoft platform and tools
Foster I, Zhao Y, Raicu I, Lu S (2008) Cloud computing and grid computing 360-degree compared," 2008 Grid Computing Environments Workshop, Austin, TX, 2008, pp. 1-10, doi: https://doi.org/10.1109/GCE.2008.4738445
Benedicic L, Cruz FA, Madonna A, Mariotti K Sarus(2019) Highly scalable docker containers for HPC systems. Benedicic L, Cruz FA, Madonna A., Mariotti K , ISC high performance 2019. Lecture notes in computer science, vol 11887. Springer, Cham, https://doi.org/10.1007/978-3-030-34356-9_5
Menouer T, Darmon P (2019) Containers scheduling consolidation approach for cloud computing. In: Esposito C, Hong J, Choo KK (eds) Pervasive systems, algorithms and networks. I-SPAN. Communications in computer and information science, vol 1080, Springer, Cham. https://doi.org/10.1007/978-3-030-30143-9_15
Perampalam P, Dick FA (2020) BEAVR: a browser-based tool for the exploration and visualization of RNA-seq data. BMC Bioinformatics 21:221
Bella MRM, Data M, Yahya W (2018) Web server load balancing based on memory utilization using docker swarm. In" 2018 International Conference on Sustainable Information Engineering and Technology (SIET), 2018, pp. 220-223, doi: https://doi.org/10.1109/SIET.2018.8693212
Marathon, orchestration tool for Mesos. [Online], availableJune 2020: https://mesosphere.github.io/marathon
Saha P, Beltre A, Govindaraju M (2018) Exploring the fairness and resource distribution in an apache mesos environment. In: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), San Francisco, CA, 2018, pp. 434–441, doi: https://doi.org/10.1109/CLOUD.2018.000
Zheng C, Tovar B, Thain D (2017) Deploying high throughput scientific workflows on container schedulers with makeflow and mesos," 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, pp. 130-139, doi: https://doi.org/10.1109/CCGRID.2017.9
Bisong E. (2019) Containers and Google Kubernetes Engine. In: Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress, Berkeley, CA
Medel V, Tolosana-Calasanz R, ÁngelBañares J, Arronategui U, Rana OF (2018) Characterising resource management performance in Kubernetes. Comput Electr Eng 68:286-297. https://doi.org/10.1016/j.compeleceng.2018.03.041
Nexflow [Online], available Jully 2020: https://www.nextflow.io/
Larsonneur E, Mercier J, Wiart N, Floch EL, Delhomme O, MeyerV (2018) Evaluating workflow management systems: a bioinformatics use case. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, 2018, pp. 2773–277, https://doi.org/10.1109/BIBM.2018.8621141
Casalicchio E, Iannucci S. The state‐of‐the‐art in container technologies: application, orchestration and security. Concurrency Computat Pract Exper. 2020; e5668. https://doi.org/10.1002/cpe.5668
Ernst D, Bermbach D, Tai S (2016) Understanding the container ecosystem: a taxonomy of building blocks for container lifecycle and cluster management. Retrieved from the the: Proceedings of WoC. IEEE
Madiha HS, Eduardo BF (2018). A reference architecture for the container ecosystem. In Proceedings of the 13th International Conference on Availability, Reliability and Security (ARES 2018). Association for Computing Machinery, New York
Rodriguez MA, Buyya R (2019). Container‐based cluster orchestration systems: ataxonomy and future directions. Softw Pract Exp, 49(5), 698–719
Bélair M, Laniepce S, Menaud J-M (2019) Leveraging kernel security mechanisms to improve container security: a survey. In Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES '19). Association for Computing Machinery, New York, NY, USA, Article 76, 1–6
Jenkins J, Shipman G, Mohd-Yusof J, Barros K, Carns P, Ross R (2017) A case study in computational caching micro-services for HPC. In: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Lake Buena Vista, FL, 2017, pp
Becker M. et al. (2020) Scaling genomics data processing with memory-driven computing to accelerate computational biology. In: Sadayappan P, Chamberlain B, Juckeland G, Ltaief H (eds) High performance computing. ISC High Performance 2020. Lecture Note
Alexander S, Del Balso M (2018) "Horovod: fast and easy distributed deep learning in TensorFlow." arXiv preprint. https://arxiv.org/abs/1802.05799
Vahi K et al (2019) Custom execution environments with containers in pegasus-enabled scientific workflows. In: 2019 15th International Conference on eScience (eScience), pp 281–290. https://doi.org/10.1109/eScience.2019.00039
Liu W, Fan W, Li P, Li L ( 2018) Survey of big data platform based on cloud computing container technology. In: Barolli L, Terzo O (eds) Complex, intelligent, and software intensive systems. CISIS. Advances in intelligent systems and computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_90
Aldinucci M et al (2018) HPC4AI: an AI-on-demand federated platform endeavour. In: Proceedings of the 15th ACM International Conference on Computing Frontiers (CF '18). Association for Computing Machinery, New York, NY, USA, pp 279–286. https://doi.org/10.1145/3203217.3205340
Rao TR, Mitra P, Bhatt R et al (2019) The big data system, components, tools, and technologies: a survey. Knowl Inf Syst 60:1165–1245. https://doi.org/10.1007/s10115-018-1248-0
Blamey B, Hellander A, Toor S (2019) Apache spark streaming, Kafka and HarmonicIO: A performance benchmark and architecture comparison for enterprise and scientific computing. In: Gao W., Zhan J., Fox G., Lu X., Stanzione D. (eds) Benchmarking, Measuri. «and optimizing. Bench 2019. Lecture notes in computer science, vol 12093. Springer, Cham
Piras ME, Pireddu L, Moro M, Zanetti G (2019) Container orchestration on HPC clusters. In: Weiland M., Juckeland G., Alam S., Jagode H. (eds) High performance computing. ISC high performance 2019. Lecture notes in computer science, vol 11887. Springer,Cham
Zhou N, Georgiou Y, Zhong L, Zhou H, Pospieszny M (2020) Container orchestration on HPC systems," 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), , pp. 34–36, doi: https://doi.org/10.1109/CLOUD49709.2020.00017
Ciubăncan M, Dulea M (2017) Implementing advanced data flow and storage management solutions within a multi-VO grid site," 2017 16th RoEduNet Conference: Networking in Education and Research (RoEduNet), TarguMures, pp. 1-4, doi: https://doi.org/10.1109/ROEDUNET.20
Pablo Orviz F, Joao P, Álvaro López G et al (2018) umd-verification: automation of software validation for the EGI Federated e-infrastructure. J Grid Comput 16(4):683–696
Alfonso DE, Carlos C, Amanda M, Germán. et al (2017) Container-based virtual elastic clusters. J Syst Softw 127:1–11
OSG, Open Science GRID. [Online], available Jully 2020: https://opensciencegrid.org/
HTcondor resource management. [Online], available Jully 2020: https://htcondor.readthedocs.io/en/latest/overview/index.html
The Large Hadron Collider (LHC) - CERN. [Online], available Jully 2020: http://lhc.web.cern.ch
Simone M, et al. (2020) CernVM-FS container image integration. J Phys Conf Ser. Vol. 1525. No. 1. IOP Publishing
High throughput computing"HTC". [Online], available Jully 2020: https://htcondor.readthedocs.io/en/latest/overview/high-throughput-computing-requirements.html
Singularity on HTC. [Online], available Jully 2020: https://indico.cern.ch/event/578972/contributions/2652740/attachments/1491278/2318170/ATLAS_Singularity_Status_1.pdf.
Fernández-Del-Castillo E, Scardaci D, López García Á (2015) The EGI Federated Cloud e-Infrastructure. Proc Comput Sci, vol. 68, 2015. doi:https://doi.org/10.1016/j.procs.2015.09.235
EGI: Advanced Computing for Research, presentation of Webinar. [Online], available Jully 2020: https://indico.egi.eu/event/5090/attachments/12961/15418/egi-containers-webinar-20200610.pdf
EC3 (Elastic Cloud Computing Cluster). [Online], available July 2020 : https://egi-federated-cloud.readthedocs.io/en/latest/aod.html#ec3
Moltó G, Caballer M, Pérez A, De Alfonso C, Blanquer I (2017) Coherent application delivery on hybrid distributed computing infrastructures of virtual machines and docker containers. In: 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), p. 486-490. https://doi.org/10.1109/PDP.2017.29
EGI, European GRID Infrastructure Foundation. [Online], available Jully 2020: https://www.egi.eu/
AWS, Amazon Web Services.[Online], available August 2020: https://aws.amazon.com/
Bisong E (2019) An overview of google cloud platform services. In: building machine learning and deep learning models on google cloud platform. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4470-8
Microsoft Azure. [Online], available August 2020: https://azure.microsoft.com/en-us/
Chang H, et al. (2018) Performance evaluation of Open5GCore over KVM and Docker by using Open5GMTC," NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, Taipei, pp. 1–6, doi: https://doi.org/10.1109/NOMS.2018.8406141
Fayos-Jordan R, Felici-Castell S, Segura-Garcia J, Lopez-Ballester J et al (2020) Maximo cobos, performance comparison of container orchestration platforms with low cost devices in the fog, assisting Internet of Things applications. J Netw Comput Appl 169:102788. https://doi.org/10.1016/j.jnca.2020.102788
Mouradian C, Naboulsi D, Yangui S, Glitho RH, Morrow MJ, Polakos PA (2018) A comprehensive survey on fog computing: state-of-the-art and research challenges. IEEE Commun Surv Tutorials, vol.20, no.1, pp.416–464, Firstquarter2018. , https://doi.org/10.1109/COMST.2017.2771153
Svorobej S, Bendechache M, Griesinger F, Domaschka J. (2020) Orchestration from the Cloud to the Edge. In: Lynn T, Mooney J, Lee B, Endo P (eds) The Cloud-to-thing continuum. Palgrave studies in digital business & enabling technologies., Palgrave Macmillan, Cham
Kaur K, Garg S, Kaddoum G, Ahmed SH, Atiquzzaman M (2020) KEIDS: kubernetes-based energy and interference driven scheduler for industrial IoT in edge-cloud ecosystem. IEEE Internet Things J 7(5):4228–4237. https://doi.org/10.1109/JIOT.2019.2939534
Huang D, Lu Y (2020) Improving the efficiency of HPC data movement on container-based virtual cluster. CCF Trans HPC 2:67–80. https://doi.org/10.1007/s42514-020-00025-w
Riti (2018) Introduction to DevOps. In: Pro DevOps with Google Cloud Platform. A press, Berkeley, CA. https://doi.org/10.1001/978-1-48-42-3897-4_3
Potdar AM, Narayan DG, Kengond S, Mulla MM (2020) Performance evaluation of docker container and virtual machine. Procedia Computer Science, vol 171, Pp 1419–1428, ISSN 1877–0509. https://doi.org/10.1016/j.procs.2020.04.152
Vazhkudai SS, de Supinski BR, Bland AS, Geist A, Sexton J, Kahle J, Zimmer CJ, Atchley S, Oral S, Maxwell DE, et al. (2018) The design, deployment, and evaluation of the coral pre-exascalesystems.In: , Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis. IEEE Press, p. 52
Pereira Ferreira A, Sinnott R (2019) A performance evaluation of containers running on managed kubernetes services. In: 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), , pp. 199–208, doi: https://doi.org/10.1109/CloudCom.2019.00038
Bratterud A, Happe A, Duncan RAK (2017) Enhancing cloud security and privacy: the Unikernel solution. In: Eighth International Conference on Cloud Computing, GRIDs, and Virtualization, Athens, Greece. Curran Associates
Acknowledgements
This work was partially supported by the General Directorate of Scientific Research and Technological Development (DGRSDT, Algeria), under the PRFU project (ref: C00L07UN060120200003).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Bentaleb, O., Belloum, A.S.Z., Sebaa, A. et al. Containerization technologies: taxonomies, applications and challenges. J Supercomput 78, 1144–1181 (2022). https://doi.org/10.1007/s11227-021-03914-1
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11227-021-03914-1