INTERNET ASHYOLAR ASOSIDA QURILGAN TIZIMLARDA YUKLAMALARNI MUVOZANATLASH MASALASI

Authors

  • Samandarov Batirbek Satimovich Tashkent University of Information Technologies named after Muhammad al-Khwarizmi https://orcid.org/0000-0002-8296-0894
  • Joldasbaev Dauranbek Rustem uli Muhammad al-Xorazmiy nomidagi Toshkent Axborot Texnologiyalari Universiteti
  • Gulmirzayeva Goʻzal Alisher qizi Muhammad al-Xorazmiy nomidagi Toshkent Axborot Texnologiyalari Universiteti

Keywords:

Internet ashyolar, yuklamalarni muvozanatlash, IoT tizimlari, ko‘p parametrli optimizatsiya, matematik modellashtirish, tarmoq resurslari

Abstract

Maqolada Internet ashyolar (IoT) tizimlarida yuklamalarni muvozanatlashning matematik modellashtirish va samaradorligini oshirish uchun taklif etilgan usullar muhokama qilinadi. IoT tizimlarida yuklamalarni muvozanatlashdagi qiyinchiliklar va ularni hal qilish uchun ishlab chiqilgan algoritmlar ko‘rib chiqiladi. Maqsad funktsiyalari orqali tarmoq va hisoblash resurslarini optimal taqsimlanishini ta’minlash, energiya sarfini kamaytirish va kechikishlarni minimallashtirish uchun taklif qilingan modellar tahlil qilingan. Tadqiqot natijalari IoT tizimlarida yuklamalarni samarali muvozanatlash uchun zamonaviy echimlar taklif qilish imkonini beradi.

References

J.Romkey. Toast of the IoT: the 1990 interop internet toaster IEEE Consum. Electron. Mag., 6 (1) (2017), pp. 116-119, https://doi.org/10.1109/MCE.2016.2614740

P. Suresh, J.V. Daniel, V. Parthasarathy, R.H. Aswathy. A state of the art review on the Internet of Things (IoT) history, technology and fields of deployment 2014 International Conference on Science Engineering and Management Research (ICSEMR (2014), pp. 1-8, https://doi.org/10.1109/ICSEMR.2014.7043637

ITU Internet Reports. The Internet of Things / [Elektron manba] https://www.itu.int/net/wsis/tunis/newsroom/stats/The-Internet-of-Things-2005.pdf (murojaat sanasi: 10.09.2024).

Data and analytics: taking the pulse of the information society. Individuals using the Internet / [Elektron manba] https://www.itu.int/itu-d/sites/statistics/ (murojaat sanasi: 15.09.2024)

Aigul Adamova, Tamara Zhukabayeva, Nurgalym Adamov. Machine Learning Algorithms for Intrusion Detection in IoT-enabled Smart Homes // Procedia Computer Science. Volume 241, 2024. Pages 427-432. https://doi.org/10.1016/j.procs.2024.08.059

Muhammad Umair, Muhammad Aamir Cheema, Bilal Afzal, Ghalib Shah. Energy management of smart homes over fog-based IoT architecture // Sustainable Computing: Informatics and Systems. Volume 39, 2023. https://doi.org/10.1016/j.suscom.2023.100898

Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., & Iranmanesh, M. (2023).The Internet of Things (IoT) in healthcare: Taking stock and moving forward. Internet of Things, 22, Article 100721. https://doi.org/10.1016/j.iot.2023.100721

O.Popoola, M.Rodrigues, J.Marchang, A.Shenfield, A.Ikpehai, J.Popoola. A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: Problems, challenges and solutions // Blockchain: Research and Applications. Volume 5, Issue 2, 2024. https://doi.org/10.1016/j.bcra.2023.100178

Montaser N.A. Ramadan, Mohammed A.H. Ali, Shin Yee Khoo, Mohammad Alkhedher, Mohammad Alherbawi. Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment // Ecotoxicology and Environmental Safety. Volume 283, 2024. https://doi.org/10.1016/j.ecoenv.2024.116856

Anna Presciuttini, Alessandra Cantini, Federica Costa, Alberto Portioli-Staudacher. Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review // Journal of Manufacturing Systems. Volume 74, 2024, Pages 477-486. https://doi.org/10.1016/j.jmsy.2024.04.012

Gupta H., Vahid Dastjerdi A., Ghosh S.K., Buyya R. Ifogsim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, edge and fog computing environments // Software: Practice and Experience. 2017. T. 47. № 9. S. 1275–1296. https://doi.org/10.1002/spe.2509

Pourghebleh, B., Hayyolalam, V. A comprehensive and systematic review of the load balancing mechanisms in the Internet of Things // Cluster Comput 23, 641–661 (2020). https://doi.org/10.1007/s10586-019-02950-0

Published

2024-08-28

How to Cite

Samandarov , B., Joldasbaev , D., & Gulmirzayeva , G. (2024). INTERNET ASHYOLAR ASOSIDA QURILGAN TIZIMLARDA YUKLAMALARNI MUVOZANATLASH MASALASI. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 2(4), 126–132. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v2i418