Abstract
With the spread of broadband access lines, many bandwidth-consuming services such as video streaming have appeared. The popularity of these services can cause problems such as the shortage of the Internet backbone capacity, so it is important to detect increasing traffic caused by these services early. Conventional detection method called aggregation method tries to detect increasing traffic by predicting its future traffic volume with linear approximation. However, the aggregation method may not cope with increasing traffic whose growth is more rapid than linear growth. In this paper, we propose an early detection method (partial aggregation method) of increasing traffic under per-subnet based distributed traffic measurement. The method predicts 1) future traffic volume for each address in each subnet and 2) the number of subnets having increasing traffic in the future with a linear approximation. Then, the method estimates future traffic volume for each address as a product of the predicted future traffic volume in each subnet and the predicted subnet number. As a result, the method is expected to cope with rapid growth in traffic volume. Simulation results show that the partial aggregation method can detect increasing traffic earlier than the aggregation method by a maximum of 90 days.
| Original language | English |
|---|---|
| Title of host publication | IEEE Region 10 Annual International Conference, Proceedings/TENCON |
| Pages | 809-814 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan Duration: Nov 21 2010 → Nov 24 2010 |
Other
| Other | 2010 IEEE Region 10 Conference, TENCON 2010 |
|---|---|
| Country | Japan |
| City | Fukuoka |
| Period | 11/21/10 → 11/24/10 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
Cite this
Early detection of increasing traffic with distributed traffic measurement. / Fukushima, Yukinobu; Niboshi, Mamoru; Murase, Tutomu; Fujimaki, Ryohei; Hirose, Shunsuke; Yokohira, Tokumi.
IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2010. p. 809-814 5686580.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Early detection of increasing traffic with distributed traffic measurement
AU - Fukushima, Yukinobu
AU - Niboshi, Mamoru
AU - Murase, Tutomu
AU - Fujimaki, Ryohei
AU - Hirose, Shunsuke
AU - Yokohira, Tokumi
PY - 2010
Y1 - 2010
N2 - With the spread of broadband access lines, many bandwidth-consuming services such as video streaming have appeared. The popularity of these services can cause problems such as the shortage of the Internet backbone capacity, so it is important to detect increasing traffic caused by these services early. Conventional detection method called aggregation method tries to detect increasing traffic by predicting its future traffic volume with linear approximation. However, the aggregation method may not cope with increasing traffic whose growth is more rapid than linear growth. In this paper, we propose an early detection method (partial aggregation method) of increasing traffic under per-subnet based distributed traffic measurement. The method predicts 1) future traffic volume for each address in each subnet and 2) the number of subnets having increasing traffic in the future with a linear approximation. Then, the method estimates future traffic volume for each address as a product of the predicted future traffic volume in each subnet and the predicted subnet number. As a result, the method is expected to cope with rapid growth in traffic volume. Simulation results show that the partial aggregation method can detect increasing traffic earlier than the aggregation method by a maximum of 90 days.
AB - With the spread of broadband access lines, many bandwidth-consuming services such as video streaming have appeared. The popularity of these services can cause problems such as the shortage of the Internet backbone capacity, so it is important to detect increasing traffic caused by these services early. Conventional detection method called aggregation method tries to detect increasing traffic by predicting its future traffic volume with linear approximation. However, the aggregation method may not cope with increasing traffic whose growth is more rapid than linear growth. In this paper, we propose an early detection method (partial aggregation method) of increasing traffic under per-subnet based distributed traffic measurement. The method predicts 1) future traffic volume for each address in each subnet and 2) the number of subnets having increasing traffic in the future with a linear approximation. Then, the method estimates future traffic volume for each address as a product of the predicted future traffic volume in each subnet and the predicted subnet number. As a result, the method is expected to cope with rapid growth in traffic volume. Simulation results show that the partial aggregation method can detect increasing traffic earlier than the aggregation method by a maximum of 90 days.
UR - http://www.scopus.com/inward/record.url?scp=79951598835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951598835&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2010.5686580
DO - 10.1109/TENCON.2010.5686580
M3 - Conference contribution
AN - SCOPUS:79951598835
SN - 9781424468904
SP - 809
EP - 814
BT - IEEE Region 10 Annual International Conference, Proceedings/TENCON
ER -