Session
Computer Science and Communication Engineering
Description
With the rapid increase demand for data usage, Internet has become complex and harder to analyze. Characterizing the Internet traffic might reveal information that are important for Network Operators to formulate policy decisions, develop techniques to detect network anomalies, help better provision network resources (capacity, buffers) and use workload characteristics for simulations (typical packet sizes, flow durations, common protocols).
In this paper, using passive monitoring and measurements, we show collected data traffic at Internet backbone routers. First, we reveal main observations on patterns and characteristics of this dataset including packet sizes, traffic volume for inter and intra domain and protocol composition. Second, we further investigate independence structure of packet size arrivals using both visual and computational statistics. Finally, we show the temporal behavior of most active destination IP and Port addresses.
Keywords:
Internet, traffic, dataset, characteristics, Network Operator
Session Chair
Edmond Jajaga
Session Co-Chair
Xhafer Krasniqi
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-60-8
First Page
72
Last Page
79
Location
Durres, Albania
Start Date
27-10-2017 4:15 PM
End Date
27-10-2017 6:00 PM
DOI
10.33107/ubt-ic.2017.89
Recommended Citation
Salihu, Artan; Shefkiu, Muharrem; and Maraj, Arianit, "Characteristics and Temporal Behavior of Internet Backbone Traffic" (2017). UBT International Conference. 89.
https://knowledgecenter.ubt-uni.net/conference/2017/all-events/89
Included in
Characteristics and Temporal Behavior of Internet Backbone Traffic
Durres, Albania
With the rapid increase demand for data usage, Internet has become complex and harder to analyze. Characterizing the Internet traffic might reveal information that are important for Network Operators to formulate policy decisions, develop techniques to detect network anomalies, help better provision network resources (capacity, buffers) and use workload characteristics for simulations (typical packet sizes, flow durations, common protocols).
In this paper, using passive monitoring and measurements, we show collected data traffic at Internet backbone routers. First, we reveal main observations on patterns and characteristics of this dataset including packet sizes, traffic volume for inter and intra domain and protocol composition. Second, we further investigate independence structure of packet size arrivals using both visual and computational statistics. Finally, we show the temporal behavior of most active destination IP and Port addresses.