DISTRIBYUTIV (TARQOQ) KUZATUV TIZIMLARIDA MA’LUMOTLARNI YIG'ISH, QAYTA ISHLASH VA UZATISHNING KO‘P QATLAMLI ARXITEKTURASI
Keywords:
distribyutiv kuzatuv, ko'p qatlamli arxitektura, Edge computing, Fog computing, ma'lumotlar agregatsiyasi, tarmoq optimizatsiyasi, latentlik, sensor tarmog'i, adaptiv siqish, real vaqt qayta ishlash.Abstract
Ushbu maqolada distribyutiv (tarqoq) kuzatuv tizimlarida ma'lumotlarni yig'ish, qayta ishlash va uzatishning ko'p qatlamli arxitekturasi tadqiq etiladi. Tadqiqotning dolzarbligi shundaki, zamonaviy shahar va sanoat kuzatuv tizimlarida yuzlab sensorlar va kameralar hosil qiladigan ulkan hajmdagi ma'lumotlar oqimini samarali qayta ishlash, tarmoq bandligini optimallashtirish va kechikishni minimallashtirishning yagona sistemali yondashuvi mavjud emas. Muammoni hal etish uchun uchta qatlamdan iborat arxitektura taklif etiladi: Edge qatlami (sensor yaqinida dastlabki qayta ishlash), Fog qatlami (mintaqaviy agregatsiya va filtrlash) va Cloud qatlami (global tahlil va saqlash). Har bir qatlam uchun matematik model, ma'lumotlar siqish algoritmi va tarmoq trafik optimizatsiyasi ishlab chiqilgan. 128 ta sensor tugunli real sinov tarmog'ida o'tkazilgan tajribalar tarmoq bandligini 67.3% ga kamaytirish, kechikishni 94 ms dan 28 ms ga tushirish va tizim ishonchliligi 99.7% erishganligini ko'rsatdi. Ilmiy yangilik — adaptiv ma'lumotlar siqish, ustuvorlikka asoslangan marshrutlash va uch qatlamli distributed processing arxitekturasini birlashtirishdan iborat.
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