ОСОБЛИВОСТІ НАДАННЯ ХМАРНИХ ІНФРАСТРУКТУРНИХ ПОСЛУГ
Ключові слова:
хмарна інфраструктура, хмарні обчислення, гібридна хмара
Анотація
У статті розглядається інфраструктура як послуга. Хмарна інфраструктура включає принаймні базові обчислювальні ресурси, сховище даних і мережні ресурси. Інфраструктура як послуга надає переваги, які дозволяють різноманітним системам розвиватися швидше та досягати цілей цифрової трансформації. Досліджено такі варіанти розгортання хмарних систем, як приватна хмара, публічна хмара та гібридна хмара. Кожен тип хмари має свої недоліки та переваги. Інфраструктура як послуга забезпечує чотири основні переваги, які дозволяють різним системам розвиватися швидше та досягати цілей цифрової трансформації. Хмара наступного покоління розроблена для того, щоб запускати будь-яку програму швидше та безпечніше за меншу вартість.Завантаження
Дані про завантаження поки що недоступні.
Посилання
1. Zhen Xiao, Weija Song, and Qu Chen, “Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment”, IEEE transaction on parallel and distributed systems, Vol/ 24, Is. 6, pp. 1107 – 1117, June 2013, doi: 10.1109/TPDS.2012.283.v/
2. John J. Prevost, Kranthi Manoj Nagothu, Brian Kelley, and Mo Jamshidi, “Prediction of cloud data center networks loads using stochastic and neural models”, 2011 6th International Conference on System of Systems Engineering, 12138393, 2011, doi: 10.1109/SYSOSE.2011.5966610.
3. S. Kianpisheh, and R. H. Glitho, “Cost-efficient server provisioning for deadline-constrained VNFs Chains: A parallel VNF processing approach”, Proceeding of 2019 16th IEEE Annual Consumer Communications & Networking Conference, 2019. doi: 10.1109/CCNC.2019.8651799.
4. N. Kuchuk, O. Shefer, G. Cherneva, and F. A. Alnaeri, “Determining the capacity of the self-healing network segment”, Advanced Information Systems, vol. 5, no. 2, pp. 114–119, Jun. 2021, doi: 10.20998/2522-9052.2021.2.16.
5. Ye. Qiang, and W. Zhuang, “Distributed and adaptive medium access control for internet-of-things-enabled mobile networks”, IEEE Internet of Things Journal, 2017, vol. 4, no. 2, pp. 446-460, doi: 10.1109/JIOT.2016.2566659.
6. G. Kuchuk, S. Nechausov, and V. Kharchenko, “Two-stage optimization of resource allocation for hybrid cloud data store”, International Conference on Information and Digital Technologies, Zilina, 2015, pp. 266-271, doi: 10.1109/DT.2015.7222982.
7. H. Khudov, K. Tahyan, V. Chepurnyi, I. Khizhnyak, K. Romanenko, A. Nevodnichii, and O. Yakovenko, “Optimization of joint search and detection of objects in technical surveillance systems”, Advanced Information Systems, 2020, Vol. 4, No. 2, pp. 156-162, doi: 10.20998/2522-9052.2020.2.23.
8. S. Semenov, O. Sira, S. Gavrylenko, and N. Kuchuk, “Identification of the state of an object under conditions of fuzzy input data”, Eastern-European Journal of Enterprise Technologies, Vol 1, No 4 (97), pp. 22-30, 2019, doi: 10.15587/1729- 4061.2019.157085.
9. S. Semenov, and Cao Weilin, “Testing process for penetration into computer systems mathematical model modification”, Advanced Information Systems, Vol. 4, No. 3, pp. 133–138. 2020, doi: 10.20998/2522-9052.2020.3.19.
10. H. Attar, M.R. Khosravi, S.S. Igorovich, K.N. Georgievan, and M. Alhihi, “E-health communication system with multiservice data traffic evaluation based on a G/G/1 analysis method”, Current Signal Transduction Therapy, 16(2), 2021, doi: 10.2174/1574362415666200224094706.
11. P. Franti, “Efficiency of random swap clustering”, Journal of Big Data, vol. 5, no. 13, 2018, pp. 1-29, doi: 10.1186/s40537- 018-0122-y.
12. G. Kuchuk, A. Kovalenko, I.E. Komari, A. Svyrydov, and V. Kharchenko, “Improving big data centers energy efficiency: Traffic based model and method”, Studies in Systems, Decision and Control, vol. 171, Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (Eds.), Springer Nature Switzerland AG, pp. 161-183, 2019, doi: 10.1007/978-3-030-00253-4_8.
13. A. Nechausov, I. Mamusuĉ, and N. Kuchuk, “Synthesis of the air pollution level control system on the basis of hyperconvergent infrastructures”, Advanced Information Systems, vol. 1, no. 2, 2017, pp. 21–26. DOI: 10.20998/2522-9052.2017.2.04.
14. A. Kovalenko, H. Kuchuk, N. Kuchuk, and J. Kostolny, “Horizontal scaling method for a hyperconverged network”, International Conference on Information and Digital Technologies 2021, IDT 2021, pp. 331–336, 9497534, 2021, doi: https://doi.org/10.1109/IDT52577.2021.9497534.
15. H. Attar, M.R. Khosravi, S.S. Igorovich, K.N. Georgievan, and M. Alhihi, “Review and performance evaluation of FIFO, PQ, CQ, FQ, and WFQ algorithms in multimedia wireless sensor networks”, International Journal of Distributed Sensor Networks, 16(6), June 2020, doi: https://doi.org/10.1177/1550147720913233.
16. H. Kuchuk, A. Kovalenko, B.F. Ibrahim, and I. Ruban, “Adaptive compression method for video information”, International Journal of Advanced Trends in Computer Science and Engineering, 8(1), pp. 66–69, 2019, doi: http://dx.doi.org/10.30534/ijatcse/2019/1181.22019.
17. N. Kuchuk, O. Mozhaiev, S. Semenov, A. Haichenko, H. Kuchuk, S. Tiulieniev, M. Mozhaiev, V. Davydov, O. Brusakova, and Y. Gnusov, “Devising a method for balancing the load on a territorially distributed foggy environment”, Eastern-European Journal of Enterprise Technologies, vol. 1(4 (121), pp. 48–55, 2023, doi: https://doi.org/10.15587/1729-4061.2023.2741
2. John J. Prevost, Kranthi Manoj Nagothu, Brian Kelley, and Mo Jamshidi, “Prediction of cloud data center networks loads using stochastic and neural models”, 2011 6th International Conference on System of Systems Engineering, 12138393, 2011, doi: 10.1109/SYSOSE.2011.5966610.
3. S. Kianpisheh, and R. H. Glitho, “Cost-efficient server provisioning for deadline-constrained VNFs Chains: A parallel VNF processing approach”, Proceeding of 2019 16th IEEE Annual Consumer Communications & Networking Conference, 2019. doi: 10.1109/CCNC.2019.8651799.
4. N. Kuchuk, O. Shefer, G. Cherneva, and F. A. Alnaeri, “Determining the capacity of the self-healing network segment”, Advanced Information Systems, vol. 5, no. 2, pp. 114–119, Jun. 2021, doi: 10.20998/2522-9052.2021.2.16.
5. Ye. Qiang, and W. Zhuang, “Distributed and adaptive medium access control for internet-of-things-enabled mobile networks”, IEEE Internet of Things Journal, 2017, vol. 4, no. 2, pp. 446-460, doi: 10.1109/JIOT.2016.2566659.
6. G. Kuchuk, S. Nechausov, and V. Kharchenko, “Two-stage optimization of resource allocation for hybrid cloud data store”, International Conference on Information and Digital Technologies, Zilina, 2015, pp. 266-271, doi: 10.1109/DT.2015.7222982.
7. H. Khudov, K. Tahyan, V. Chepurnyi, I. Khizhnyak, K. Romanenko, A. Nevodnichii, and O. Yakovenko, “Optimization of joint search and detection of objects in technical surveillance systems”, Advanced Information Systems, 2020, Vol. 4, No. 2, pp. 156-162, doi: 10.20998/2522-9052.2020.2.23.
8. S. Semenov, O. Sira, S. Gavrylenko, and N. Kuchuk, “Identification of the state of an object under conditions of fuzzy input data”, Eastern-European Journal of Enterprise Technologies, Vol 1, No 4 (97), pp. 22-30, 2019, doi: 10.15587/1729- 4061.2019.157085.
9. S. Semenov, and Cao Weilin, “Testing process for penetration into computer systems mathematical model modification”, Advanced Information Systems, Vol. 4, No. 3, pp. 133–138. 2020, doi: 10.20998/2522-9052.2020.3.19.
10. H. Attar, M.R. Khosravi, S.S. Igorovich, K.N. Georgievan, and M. Alhihi, “E-health communication system with multiservice data traffic evaluation based on a G/G/1 analysis method”, Current Signal Transduction Therapy, 16(2), 2021, doi: 10.2174/1574362415666200224094706.
11. P. Franti, “Efficiency of random swap clustering”, Journal of Big Data, vol. 5, no. 13, 2018, pp. 1-29, doi: 10.1186/s40537- 018-0122-y.
12. G. Kuchuk, A. Kovalenko, I.E. Komari, A. Svyrydov, and V. Kharchenko, “Improving big data centers energy efficiency: Traffic based model and method”, Studies in Systems, Decision and Control, vol. 171, Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (Eds.), Springer Nature Switzerland AG, pp. 161-183, 2019, doi: 10.1007/978-3-030-00253-4_8.
13. A. Nechausov, I. Mamusuĉ, and N. Kuchuk, “Synthesis of the air pollution level control system on the basis of hyperconvergent infrastructures”, Advanced Information Systems, vol. 1, no. 2, 2017, pp. 21–26. DOI: 10.20998/2522-9052.2017.2.04.
14. A. Kovalenko, H. Kuchuk, N. Kuchuk, and J. Kostolny, “Horizontal scaling method for a hyperconverged network”, International Conference on Information and Digital Technologies 2021, IDT 2021, pp. 331–336, 9497534, 2021, doi: https://doi.org/10.1109/IDT52577.2021.9497534.
15. H. Attar, M.R. Khosravi, S.S. Igorovich, K.N. Georgievan, and M. Alhihi, “Review and performance evaluation of FIFO, PQ, CQ, FQ, and WFQ algorithms in multimedia wireless sensor networks”, International Journal of Distributed Sensor Networks, 16(6), June 2020, doi: https://doi.org/10.1177/1550147720913233.
16. H. Kuchuk, A. Kovalenko, B.F. Ibrahim, and I. Ruban, “Adaptive compression method for video information”, International Journal of Advanced Trends in Computer Science and Engineering, 8(1), pp. 66–69, 2019, doi: http://dx.doi.org/10.30534/ijatcse/2019/1181.22019.
17. N. Kuchuk, O. Mozhaiev, S. Semenov, A. Haichenko, H. Kuchuk, S. Tiulieniev, M. Mozhaiev, V. Davydov, O. Brusakova, and Y. Gnusov, “Devising a method for balancing the load on a territorially distributed foggy environment”, Eastern-European Journal of Enterprise Technologies, vol. 1(4 (121), pp. 48–55, 2023, doi: https://doi.org/10.15587/1729-4061.2023.2741
Опубліковано
2024-09-06
Як цитувати
Radchenko Viacheslav Особливості надання хмарних інфраструктурних послуг / Viacheslav Radchenko, Nina Kuchuk // Системи управління, навігації та зв’язку. Збірник наукових праць. – Полтава: ПНТУ, 2024. – Т. 3 (77). – С. 146-148. – doi:https://doi.org/10.26906/SUNZ.2024.3.146.
Розділ
Інформаційні технології
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.