Real-time Method of Accurate Unique IPs Counting Across High Number of Distinct Dimensions and Distinct Time Frames for Big Data Systems
The article describes a method which allows counting unique IP addresses within 10 bln of system events per day across high number of distinct dimensions (tuples). Log-based and probability-based methods showed unsatisfactory results. The proposed method allows avoiding excessive resource usage (RAM...
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| Veröffentlicht in: | Электронное моделирование |
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| Datum: | 2016 |
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут проблем моделювання в енергетиці ім. Г.Є. Пухова НАН України
2016
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| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/115757 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Real-time Method of Accurate Unique IPs Counting Across High Number of Distinct Dimensions and Distinct Time Frames for Big Data Systems / A.V. Valialkin, O.I. Konashevych // Электронное моделирование. — 2016. — Т. 38, № 3. — С. 63-73. — Бібліогр.: 9 назв. — англ. |