Recent studies on traffic measurement analysis in the various networks (LAN, MAN, WAN) have shown that packet traffic exhibits Self-Similarity. The packet traffic represents some behavior quite different from what it has been assumed. Some papers reported that Self-Similarity degrades the network performance, such as buffer overflow and network congestion. Thus, we need new network control scheme considering Self-Similar properties. The control scheme requires high-speed calculation method of Hurst Parameter. In this paper, we propose high-speed calculation method of Hurst Parameter based on the Variance-Time Plot method, and show its performance. Furthermore, we try to apply this method to the simple network control, in order to show effectiveness of the network control with Self-Similarity.
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Tatsuya HAGIWARA, Hiroki DOI, Hideki TODE, Hiromasa IKEDA, "High-Speed Calculation Method of the Hurst Parameter Based on Real Traffic" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 5, pp. 578-587, May 2001, doi: .
Abstract: Recent studies on traffic measurement analysis in the various networks (LAN, MAN, WAN) have shown that packet traffic exhibits Self-Similarity. The packet traffic represents some behavior quite different from what it has been assumed. Some papers reported that Self-Similarity degrades the network performance, such as buffer overflow and network congestion. Thus, we need new network control scheme considering Self-Similar properties. The control scheme requires high-speed calculation method of Hurst Parameter. In this paper, we propose high-speed calculation method of Hurst Parameter based on the Variance-Time Plot method, and show its performance. Furthermore, we try to apply this method to the simple network control, in order to show effectiveness of the network control with Self-Similarity.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_5_578/_p
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@ARTICLE{e84-d_5_578,
author={Tatsuya HAGIWARA, Hiroki DOI, Hideki TODE, Hiromasa IKEDA, },
journal={IEICE TRANSACTIONS on Information},
title={High-Speed Calculation Method of the Hurst Parameter Based on Real Traffic},
year={2001},
volume={E84-D},
number={5},
pages={578-587},
abstract={Recent studies on traffic measurement analysis in the various networks (LAN, MAN, WAN) have shown that packet traffic exhibits Self-Similarity. The packet traffic represents some behavior quite different from what it has been assumed. Some papers reported that Self-Similarity degrades the network performance, such as buffer overflow and network congestion. Thus, we need new network control scheme considering Self-Similar properties. The control scheme requires high-speed calculation method of Hurst Parameter. In this paper, we propose high-speed calculation method of Hurst Parameter based on the Variance-Time Plot method, and show its performance. Furthermore, we try to apply this method to the simple network control, in order to show effectiveness of the network control with Self-Similarity.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - High-Speed Calculation Method of the Hurst Parameter Based on Real Traffic
T2 - IEICE TRANSACTIONS on Information
SP - 578
EP - 587
AU - Tatsuya HAGIWARA
AU - Hiroki DOI
AU - Hideki TODE
AU - Hiromasa IKEDA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2001
AB - Recent studies on traffic measurement analysis in the various networks (LAN, MAN, WAN) have shown that packet traffic exhibits Self-Similarity. The packet traffic represents some behavior quite different from what it has been assumed. Some papers reported that Self-Similarity degrades the network performance, such as buffer overflow and network congestion. Thus, we need new network control scheme considering Self-Similar properties. The control scheme requires high-speed calculation method of Hurst Parameter. In this paper, we propose high-speed calculation method of Hurst Parameter based on the Variance-Time Plot method, and show its performance. Furthermore, we try to apply this method to the simple network control, in order to show effectiveness of the network control with Self-Similarity.
ER -