شماره ركورد كنفرانس :
4749
عنوان مقاله :
Modern methods to collect, store, and process big data in large-scale systems
پديدآورندگان :
Eliseev Alexander sashaeliseev81@gmail.com V.A. Trapeznikov Institute of Control Sciences of RAS , Kachalov Dmitry V.A. Trapeznikov Institute of Control Sciences of RAS , Farkhadov Mais V.A. Trapeznikov Institute of Control Sciences of RAS
كليدواژه :
Big data processing , large , scale information systems , IoT , smart devices , global cloud services
عنوان كنفرانس :
پنجمين كنفرانس بين المللي كنترل، ابزار دقيق و اتوماسيون
چكيده فارسي :
In this paper, we investigate modern methods, models, and technologies to process big data in large-scale systems. It takes a lot of time to process data in large-scale information systems. To process such big data more efficiently, new methods to collect, store, and process large data are used.
