Traffic flow characterization of cloud applications used in campus network

Author

Rzym, Grzegorz ; Wajda, Krzysztof

Author_Institution

Dept. of Telecommun., AGH Univ. of Sci. & Technol., Kraków, Poland

fYear

2015

Firstpage

1

Lastpage

4

Abstract

The paper reports the results from flow-based measurements carried in campus network of AGH-UST. We have conducted detailed analysis of traffic streams in order to find most active online applications. Measurements were carried with the focus to find most active applications, anomalies and also malicious users. It was shown that Facebook, YouTube and Dropbox, they constitute highest and rather stable contributions to whole traffic exchanged with Internet. Presented results show sizes, lengths, inter-arrival times supplemented by average packet sizes of flows belonging to analysed applications.

Keywords

cloud computing; social networking (online); telecommunication traffic; Dropbox; Facebook; Internet; YouTube; campus network; cloud application; flow-based measurement; traffic flow characterization; traffic stream analysis; Entertainment industry; Facebook; IP networks; Internet; Monitoring; Real-time systems; YouTube; NetFlow; Online Social Networks; Traffic monitoring; cloud applications; flow-based measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Transparent Optical Networks (ICTON), 2015 17th International Conference on

Conference_Location

Budapest

Type

conf

DOI

10.1109/ICTON.2015.7193538

Filename

7193538