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KATTA HAJMDAGI MA’LUMOTLAR SHAROITIDA AXBOROT TIZIMLARINI INTEGRATSIYALASH MUAMMOLARI VA ULARNING YECHIMLARI

Fan yo'nalishi:Sun'iy intellektHisoblash nazariyasi va matematikaKompyuter grafikasi va kompyuter yordamida dizaynKompyuter tarmoqlari va kommunikatsiyalariAxborot tizimlariSignalni qayta ishlashDasturiy ta'minot
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MAQOLA ANNOTATSIYASI

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Katta hajmdagi ma’lumotlar (Big Data) muhitida axborot tizimlarini integratsiyalash jarayoni murakkab va ko‘p qatlamli struktura bo‘lib, turli format va semantikadagi ma’lumotlarni birlashtirish, real vaqt rejimida ishlash, masshtablanuvchanlikni ta’minlash hamda tizimlararo o‘zaro ishlashni optimallashtirish kabi muhim ilmiy masalalarni o‘z ichiga oladi. Ushbu maqolada heterojen ma’lumotlar oqimini qayta ishlashda uchraydigan asosiy integratsiya muammolari tizimli tahlil qilindi hamda tarqatilgan hisoblash texnologiyalari (Hadoop, Spark), mikroxizmatlar arxitekturasi, konteynerlash (Docker, Kubernetes) va ontologik modellashtirish asosida takomillashtirilgan integratsiya modeli ishlab chiqildi. Eksperimental natijalar taklif etilgan modelning an’anaviy yondashuvlarga nisbatan sezilarli ustunliklarini ko‘rsatdi: throughput 2,4 baravar oshdi, latency 35 50% ga kamaydi, semantik moslik 18–27% ga yaxshilandi, fault tolerance esa 40% ga oshdi. Ushbu natijalar taklif etilgan modelning katta hajmdagi ma’lumotlar bilan ishlovchi korporativ axborot tizimlari, IoT infratuzilmalari va raqamli transformatsiya platformalarida yuqori samarali integratsiya yechimi bo‘la olishini ilmiy jihatdan tasdiqlaydi

MUALLIFLAR

O.Xolmuminov

"O`ZBEKISTON DAVLAT JAHON TILLARI UNIVERSITETI" DAVLAT MUASSASASI

SH.Qodirberganova

"O`ZBEKISTON DAVLAT JAHON TILLARI UNIVERSITETI" DAVLAT MUASSASASI

Teglar

# axborot# real# vaqt# data# semantik# ma’lumotlar# big# tizimlari# texnologiyalari# tahlili# integratsiyasi# arxitekturasi# heterojenligi# moslik# interoperabellik# mikroxizmatlar# konteynerlash# nosql# masshtablanuvchan

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