Xizmat sifatida infratuzilma

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Xizmat sifatida infratuzilma
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bet | 43/45 | Sana | 04.10.2024 | Hajmi | 2,44 Mb. | | #273577 |
Bog'liq BULITLI TEXNOLOGIYALAR.DelovXizmat sifatida infratuzilma- keng qamrovdagi korxonalar uchun korparativ yechim. Infratuzilma ma’lumotlarga ishlov berish markazida, ham va tashqi ma’lumotlar markazida joylashtirilgan bo‘lishi mumkin.
Xususiy bulut - infratuzilma bulutli hisoblashni tadbiq etishda yagona tashkilot doirasida foydalaniladi.
FOYDALANILGAN ADABIYOTLAR RO‘YXATI
2017 – 2021 yillarda O‘zbekiston Respublikasini rivojlantirishning beshta ustuvor yo‘nalishi bo‘yicha Harakatlar stratgeiyasi // O‘zbekiston Respublikasi Qonun hujjatlari to‘plami. – Toshkent, 2017. – B.38
O‘zbekiston Respublikasi Prezidentining 2019 yil 8 oktyabrdagi PF-5847- son Farmoni // O‘zbekiston Respublikasi oliy ta'lim tizimini 2030 yilgacha rivojlantirish konsepsiyasi. – 2019
O‘zbekiston Respublikasi Prezidentining «Axborot – kommunikatsiya texnologiyalarini yanada rivojlantirishga oid qo‘shimcha chora tadbirlar to‘g‘risida»gi qarori. 19.02.2018y. №Pq-5349
O‘zbekiston Respublikasining birinchi Prezidentining 2015-yil 6-martdagi “2015-2019 yillarda yo‘l-transport infratuzilmasini va muxandislik kommunikatsiyalarini modernizatsiya qilish va rivojlantirish dasturi to‘g‘risida” dagi PQ-2313 son Qarori
Sh.M.Mirziyoyev Erkin va Farovon demokratik O‘zbekiston davlatini birgalikda barpo etamiz.Toshkent: “O‘zbekiston”, 2016
Sh.M.Mirziyoyev Tanqidiy tahlil qat’iy tartib-intizom va shaxsiy javobgarlik har bir rahbar faoliyatining kundalik qoidasi bo‘lishi kerak. Toshkent: “O‘zbekiston“, 201
.Nishonbiyev, Serverga yo‘naltirilgan arxitektura, o‘quv qo‘llanma, Toshkent 2015, 246 b.
Michael Moore, Greg Kearsley “Distance Education a systems view” 2005. Wadsworth Canada
Timothy K. Shih, Jason C. Hung “Fiture direktions in distance learning and communication texnologies” 2007. Taiwan, USA
Zhang and Li Xiao-ping, A content based dynamic load-balancing algorithm for heterogeneous Web server cluster // ComSIS. 2010. V. 7. №1. Special Issue [электронный ресурс]: http://www.comsis.org/archive.php?
Хританков А.С. Модели и алгоритмы распределения нагрузки. Модель коллектива вычислителей. Модели с соперником // Информационные технологии и вычислительные системы. 2009. № 2. С. 65–80.
Randles, M., Lamb, D. and Taleb-Bendiab, A., “A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing”, 24th International Conference on Advanced Information Networking and Applications Workshops, 551- 556, 2010.
Zhang Z. and Zhang X., “A Load Balancing Mechanism Based on Ant Colony and Complex Network Theory in Open Cloud Computing Federation”, Proceeding of 2 nd International Conference on Industrial Mechatronics and Automation (ICIMA), 240-243, May, 2010.
Lua Y., Xiea Q., Kliotb G., Gellerb A., Larusb J.R. and Greenber A., “Join-Idle-Queue: A novel load balancing algorithm for dynamically scalable web wervices”, accepted in International Journal on Performance Evaluation, in press, 3rd August, 2011.
Б.З.Абдухалилов, Cloud computing: преимущества и недостатки, темпы развития на мировом уровне и в узбекистане, Профессор-ўқитувчи ва илмий тадқиқотчиларнинг даврий мақолалар тўплами. ТАТУ, Тошкент. 2017.
Н.Б. Усманова, Г.М. Жамолова, Телекоммуникация тармоқларида QoS ни таъминлаш механизмларига оид, Профессор-ўқитувчи ва илмий тадқиқодчиларнинг даврий мақолалар тўплами. ТАТУ, Тошкент. 2017.
Damián Serrano, Sara Bouchenak, Yousri Kouki, Thomas Ledoux, Jonathan Lejeune, Julien Sopena, Luciana Arantes, and Pierre Sens. Towards QoS- Oriented SLA Guarantees for Online Cloud Services. In The 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013), Delft, Netherlands, pages 50-57, May 2013.
S. Islam, K. Lee, A. Fekete, A. Liu, How a consumer can measure elasticity for cloud platforms, in: Proceedings of the 3rd Joint WOSP/SIPEW
International Conference on Performance Engineering, ICPE ‘12, Boston, Massachusetts, USA, 2012, pp. 85–96.
Gustedt, J. Experimental methodologies for large-scale systems: a survey
/ J. Gustedt, E. Jeannot, M. Quinson // Parallel Process. Lett. — World Scientific, 2009.
— Vol. 19. — P. 399-418.
Bolze, R. Grid’5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed / R. Bolze, F. Cappello, E. Caron, M. Dayde, F. Desprez et al. / / Int. J. High Perform. Comput. Appl. — USA: Sage Publications, 2006. — Vol. 20. — P. 481-494.
Chun, B. Planetlab: an overlay testbed for broad-coverage services / B. Chun, D. Culler, T. Roscoe//ACM SIGCOMM. — USA: ACM, 2003. — Vol. 33. — P. 3-12.
Song, H.J. The MicroGrid: A Scientific Tool for Modeling Computational Grids / H.J. Song // Proc. IEEE Supercomput. — USA: IEEE, 2000. — P. 4-10.
Корсуков, А.С. Инструментальные средства полунатурного моделирования распределенных вычислительных систем /А.С. Корсуков // Современные технологии. Системный анализ. Моделирование. — Россия: Иркутский государственный университет путей сообщения, 2011. — Т. 3. — C. 105-110.
Endo, T. Linpack evaluation on a supercomputer with heterogeneous accelerators / T. Endo // Parallel & Distrib. Process. (IPDPS), 2010 IEEE Int. Symp. — USA: IEEE, 2010. — P. 1-8.
Bailey, D.H. NAS parallel benchmark results / D.H. Bailey / / Proc. Supercomput. ‘92. USA: IEEE, 1992. — P. 1-13.
Buyya, R. GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing / R. Buyya, M. Murshed / / Concurr. Comput. Pract. Exp. — USA: Wiley, 2002. — Vol. 14. — № 13- 15. — P. 1175-1220.
Quinson, M. SimGrid: a generic framework for large-scale distributed experiments / M. Quinson // 2009 IEEE Ninth Int. Conf. Peer-to-Peer Comput. — USA: IEEE, 2009. — P. 126-131.
Calheiros, R.N. CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services./ R.N. Calheiros. Eprint: Australia, 2009. — 9 p.
Buyya, R. Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities / R. Buyya, R. Ranjan, R.N. Calheiros // 2009 Int. Conf. High Perform. Comput. Simul. — USA: IEEE, 2009. — P. 1-11.
Fittkau, F. CDOSim: Simulating cloud deployment options for software migration support / F. Fittkau, S. Frey, W. Hasselbring // 2012 IEEE 6th Int. Work. Maint. Evol. Serv. Cloud-Based Syst. — USA: IEEE, 2012. — P. 37-46.
Jararweh, Y. TeachCloud: a cloud computing educational toolkit / Y. Jararweh et al. / / Int. J. Cloud Comput. 2012. — InderScience Publ., 2012. — Vol. 2.
— P. 237-257.
Nunez, A. iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator / A. Nunez // J. Grid Comput. 2012. — Germany: Springer, 2012. — Vol. 10. — P. 185209.
Sriram, I. SPECI, a Simulation Tool Exploring Cloud-Scale Data Centres
/ I. Sriram // Lect. Notes Comput. Sci. 2009. — Germany: Springer, 2009.- Vol. 5931.
— P. 381-392.
Keller, G. DCSim: A data centre simulation tool / G. Keller / / Integr. Netw. Manag. 2012. — USA: IEEE, 2012. — P. 1090-1091.
Имитационное моделирование с применением библиотеки классов языка Java, разработанной для «облачных» сервисов. А.Ю. Быков, Ф.А. Панфилов, О.О. Сумарокова, МГТУ им. Н.Э. Баумана, Москва, 105005, Россия.
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