dc.contributor.author	Oleksiuk, Vasyl P.
dc.contributor.author	Oleksiuk, Olesia R.
dc.contributor.author	Spirin, Oleg M.
dc.contributor.author	Balyk, Nadiia R.
dc.contributor.author	Vasylenko, Yaroslav P.
dc.date.accessioned	2021-09-07T08:59:51Z
dc.date.available	2021-09-07T08:59:51Z
dc.date.issued	2021-06-10
dc.identifier.citation	Oleksiuk V. P. Some experience in maintenance of an academic cloud / Vasyl P. Oleksiuk, Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk, Yaroslav P. Vasylenko // CEUR Workshop Proceedings. - Vol. 2879. - P. 165-178.	uk
dc.identifier.issn	1613-0073
dc.identifier.uri	http://ceur-ws.org/Vol-2879/paper06.pdf
dc.identifier.uri	http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4436
dc.identifier.uri	https://doi.org/10.31812/123456789/4436
dc.description	[1] P. Merzlykin, M. Popel, S. Shokaliuk, Services of SageMathCloud environment and their didactic potential in learning of informatics and mathematical disciplines, CEUR Workshop Proceedings 2168 (2017) 13–19. [2] O. Glazunova, M. Shyshkina, The concept, principles of design and implementation of the university cloud-based learning and research environment, CEUR Workshop Proceedings 2104 (2018) 332–347. [3] O. V. Korotun, T. A. Vakaliuk, V. N. Soloviev, Model of using cloud-based environment in training databases of future it specialists, CEUR Workshop Proceedings 2643 (2019) 281–292. [4] V. Bykov, D. Mikulowski, O. Moravcik, S. Svetsky, M. Shyshkina, The use of the cloudbased open learning and research platform for collaboration in virtual teams, Information Technologies and Learning Tools 76 (2020) 304–320. URL: https://journal.iitta.gov.ua/index. php/itlt/article/view/3706. doi:10.33407/itlt.v76i2.3706. [5] S. H. Lytvynova, Cloud-oriented learning environment of secondary school, CEUR Workshop Proceedings 2168 (2017) 7–12. [6] M. Shyshkina, The hybrid cloud-based service model of learning resources access and its evaluation, CEUR Workshop Proceedings 1614 (2016) 241–256. [7] O. M. Markova, S. O. Semerikov, A. M. Striuk, H. M. Shalatska, P. P. Nechypurenko, V. V. Tron, Implementation of cloud service models in training of future information technology specialists, CEUR Workshop Proceedings 2433 (2018) 499–515. [8] A. V. Vorozhbyt, Creation of multimedia content of the cloud-based learning environment in technical lyceum, New Computer Technology 17 (2019) 59–63. [9] O. Glazunova, Theoretical and methodological bases for the design and application of an e-learning system for future IT specialists in an agrarian university, D.Sc. thesis, Institute of Information Technologies and Learning Tools of the NAES of Ukraine, Kyiv, Ukraine, 2015. [10] B. Wang, C. Wang, Y. Song, J. Cao, X. Cui, L. Zhang, A survey and taxonomy on workload scheduling and resource provisioning in hybrid clouds, Cluster Computing 23 (2020) 2809–2834. URL: https://doi.org/10.1007/s10586-020-03048-8. doi:10.1007/ s10586-020-03048-8. [11] M. Despotović-Zrakić, K. Simić, A. Labus, A. Milić, B. Jovanić, Scaffolding environment for e-learning through cloud computing, Journal of Educational Technology & Society 16 (2013) 301–314. URL: https://www.researchgate.net/publication/286123164_Scaffolding_ environment_for_e-learning_through_cloud_computing. [12] M. M. AL-Mukhtar, A. A. A. Mardan, Performance Evaluation of Private Clouds Eucalyptus versus CloudStack, International Journal of Advanced Computer Science and Applications 5 (2014). URL: http://dx.doi.org/10.14569/IJACSA.2014.050516. doi:10.14569/IJACSA. 2014.050516. [13] D. Y. Ilin, M. Volovich, V. Filatov, Analysis of CloudStack Platform Suitability for Management of Different Cloud Infrastructure Configurations, Cloud of science 3 (2016) 433–443. URL: http://web.archive.org/web/20180422194515/https://cloudofscience.ru/sites/default/ files/pdf/CoS_3_433.pdf. [14] T. Amiel, E. ter Haar, M. S. Vieira, T. C. Soares, Who benefits from the public good? how oer is contributing to the private appropriation of the educational commons, in: D. Burgos (Ed.), Radical Solutions and Open Science: An Open Approach to Boost Higher Education, Springer Singapore, Singapore, 2020, pp. 69–89. URL: https://doi.org/10.1007/ 978-981-15-4276-3_5. doi:10.1007/978-981-15-4276-3_5. [15] GCP, Google Cloud Services (GCP), 2021. URL: https://internet2.edu/services/ google-cloud-platform/. [16] Microsoft Azure, Student developer resources, 2021. URL: https://azure.microsoft.com/ en-us/developer/students/. [17] G. Fylaktopoulos, G. Goumas, M. Skolarikis, A. Sotiropoulos, I. Maglogiannis, An overview of platforms for cloud based development, SpringerPlus 5 (2016) 38. URL: https://doi.org/ 10.1186/s40064-016-1688-5. doi:10.1186/s40064-016-1688-5. [18] O. Spirin, V. Oleksiuk, O. Oleksiuk, S. Sydorenko, The group methodology of using cloud technologies in the training of future computer science teachers, CEUR Workshop Proceedings 2104 (2018) 294–304. URL: http://ceur-ws.org/Vol-2104/paper_154.pdf. [19] Y. Khmelevsky, V. Voytenko, Hybrid cloud computing infrastructure in academia, in: WCCCE 2015 - the 20th Western Canadian Conference on Computing Education, Vancouver Island University, Nanaimo, British Columbia, Canada, 2015. URL: https: //www.researchgate.net/profile/Youry_Khmelevsky/publication/282778407_Hybrid_ Cloud_Computing_Infrastructure_in_Academia/links/56873fe108ae1e63f1f5b884.pdf. doi:10.13140/RG.2.1.4082.6647. [20] U. H. Rao, U. Nayak, Data backups and cloud computing, in: The InfoSec Handbook: An Introduction to Information Security, Apress, Berkeley, CA, 2014, pp. 263–288. URL: https://doi.org/10.1007/978-1-4302-6383-8_13. doi:10.1007/978-1-4302-6383-8_13. [21] J. Tian, Z. Wang, Z. Li, Low-cost data partitioning and encrypted backup scheme for defending against co-resident attacks, EURASIP Journal on Information Security 2020 (2020) 7. URL: https://doi.org/10.1186/s13635-020-00110-1. doi:10.1186/s13635-020-00110-1. [22] B. Rusyn, L. Pohreliuk, V. Vysotska, M. Osypov, Method of data dedublication and distribution in cloud warehouses during data backup, Information systems and networks 6 (2019) 1–12. doi:10.23939/sisn2019.02.001. [23] O. Spirin, V. Oleksiuk, N. Balyk, S. Lytvynova, S. Sydorenko, The blended methodology of learning computer networks: Cloud-based approach, CEUR Workshop Proceedings 2393 (2019) 68–80. [24] P. Angus, Cloudstack backup and recovery framework, 2020. URL: https://www.slideshare. net/ShapeBlue/cloudstack-backup-and-recovery-framework. [25] V. Oleksiuk, O. Oleksiuk, M. Berezitskyi, Planning and Implementation of the Project “Cloud Services to Each School”, CEUR Workshop Proceedings 1844 (2017) 372–379. URL: http://ceur-ws.org/Vol-2393/paper_231.pdf. [26] R. Hantimirov, A. Mikryukov, Model distribution of resources in the operation of cloud computing environment, Open education 5 (2015). [27] Comparison of backup methods, 2014. URL: https://habr.com/ru/company/selectel/blog/ 226831/. [28] Using OAuth 2.0 to Access Google APIs, 2020. URL: https://developers.google.com/identity/ protocols/oauth2. [29] Joey Sneddon, Mount Your Google Drive on Linux with google-drive-ocamlfuse, 2017. URL: https://www.omgubuntu.co.uk/2017/04/mount-google-drive-ocamlfuse-linux.
dc.description.abstract	The article is devoted to the systematization of experience in the deployment, maintenance and servicing of the private academic cloud. The article contains model of the authors’ cloud infrastructure. It was developed at Ternopil Volodymyr Hnatiuk National Pedagogical University (Ukraine) on the basis of the Apache CloudStack platform. The authors identify the main tasks for maintaining a private academic cloud. Here they are making changes to the cloud infrastructure; maintenance of virtual machines (VM) to determine the performance and migration of VM instances; work with VMs; backup of all cloud infrastructure. The analysis of productivity and providing students with computing resources is carried out. The main types of VM used in training are given. The number and characteristics of VM that can be served by a private academic cloud are calculated. Approaches and schemes for performing backup are analysed. Some theoretical and practical experience of using cloud services to perform backup has been studied. Several scripts have been developed for archiving the platform database and its repositories. They allow you to upload backups to the Google Drive cloud service. The performance of these scripts for the author’s deployment of private cloud infrastructure was evaluated.	uk
dc.language.iso	en	uk
dc.publisher	CEUR Workshop Proceedings	uk
dc.subject	cloud computing	uk
dc.subject	private academic cloud	uk
dc.subject	Apache CloudStack	uk
dc.subject	G Suite	uk
dc.subject	Google Drive	uk
dc.title	Some experience in maintenance of an academic cloud	uk
dc.type	Article	uk