Research of Typical Information Objects Traffic

• Autorzy: Goykhman Vadim , Korganbaeva Luiza , Ermakov Alexey , Nikolaeva Maria

Identyfikatory

DOI

10.12913/22998624/106162

• Języki publikacji: EN

Abstrakty

EN

The article considers network traffic as an aggregation of information flows from typical information objects, which can include apartment buildings, student campuses, office centers, sports and entertainment facilities of general use, etc. The study showed that the amount of information transferred by the TCP protocol significantly exceeds (by orders of magnitude) the amount of information transferred by the UDP protocol, which illustrates the average daily traffic graph of the amount of information transferred by the TCP and UDP protocols. The methods of traffic analysis were considered, the most significant characteristics of traffic were determined.

Słowa kluczowe

EN

traffic; TCP session; Netflow; packet; flows

PL

ruch; sesja TCP; Netflow; pakiety; przepływy

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2019
• Tom: Vol. 13, no 2
• Strony: 51--55
• Opis fizyczny: Bibliogr. 5 poz., fig., tab.

Twórcy

autor

Goykhman Vadim

• NTC SOTSBI, Pestel str. 7, 191028, Saint-Petersburg, Russia

autor

Korganbaeva Luiza

• Gumilyov Eurasian National University, Satpaeva 2, 010008, Astana, Kazakhstan

autor

Ermakov Alexey

• LO ZNIIS, Varshavskaya 11, 196128, Saint-Petersburg, Russia
• North-Eastern Federal University, Belinskogo 58, 677000, Yakutsk, Russia

autor

Nikolaeva Maria

• North-Eastern Federal University, Belinskogo 58, 677000, Yakutsk, Russia

Bibliografia

• 1. Getman A.I., Evstropov E.F., Markin Yu.V. Real- Time Network Traffic Analysis: Overview of Applications, Approaches and Solutions. Preprint ISP RAN, 2015.
• 2. Goykhman V.Yu., Lushnikova T.Yu. Traffic analysis of a university dormitory. Telecommunication, 4, 2017, 51-55.
• 3. Goikhman V.Yu., Dremina A. Statistical analysis of network traffic, arising from downloading photos into social networks. Actual problems of infotelecommunications in science and education, 2016, 324-329.
• 4. Goykhman V.Yu., Sokolov N.А. Estimation of the growth of the intensity of incoming traffic” - Tele-communications, 3, 2018, 75-77.
• 5. Lushnikova T.Yu. Characteristic features of campus traffic. – Telecommunications, 4, 2017, 51-55.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).