SUN’IY INTELLEKT ASOSIDA SERVER YUKLANISHINI PROGNOZLASH VA TIZIM SAMARADORLIGINI OPTIMALLASHTIRISH

Authors

  • Sobirjonova Mushtariy Author
  • Muxiddinova Ruxshona Author

Keywords:

Kalit so‘zlar. Sun’iy intellekt, Machine Learning, server yuklanishi, bashoratlash, tizim samaradorligi, data center, resurslarni optimallashtirish.

Abstract

Annotatsiya. Zamonaviy axborot tizimlari va bulutli hisoblash muhitlarida serverlarga tushadigan yuklama doimiy ravishda o‘zgarib turadi. Server resurslarining samarali boshqarilmasligi tizim ishlash tezligining pasayishiga, javob berish vaqtining ortishiga va xizmat ko‘rsatish sifatining yomonlashishiga olib kelishi mumkin. Ushbu maqolada server yuklanishini sun’iy intellekt usullari yordamida prognozlash va tizim samaradorligini optimallashtirish masalasi ko‘rib chiqiladi. Tadqiqotda server yuklanishi ko‘rsatkichlari asosida mashinaviy o‘rganish algoritmlaridan foydalanib kelajakdagi yuklama darajasini oldindan aniqlash usullari tahlil qilinadi. Taklif etilayotgan yondashuv server resurslaridan samarali foydalanish, tizim barqarorligini oshirish hamda xizmat ko‘rsatish sifatini yaxshilash imkonini beradi. Tadqiqot natijalari sun’iy intellekt asosidagi bashoratlash usullarining server infratuzilmasini boshqarishda muhim ahamiyatga ega ekanligini ko‘rsatadi.

References

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Published

2026-03-27

How to Cite

Sobirjonova Mushtariy, & Muxiddinova Ruxshona. (2026). SUN’IY INTELLEKT ASOSIDA SERVER YUKLANISHINI PROGNOZLASH VA TIZIM SAMARADORLIGINI OPTIMALLASHTIRISH. JOURNAL OF NEW CENTURY INNOVATIONS, 97(1), 324-328. https://journalss.org/index.php/new/article/view/22800