IEICE TRANSACTIONS on Communications
Estimating Method of Short-Interval-Traffic Distribution Considering Long-Term-Traffic Dynamics for Multimedia QoS Management
Summary :
Analyzing short-interval-traffic behaviors is important for network performance management to realize high quality multimedia applications. However, it is difficult to measure short-interval-traffic volumes because there are complications in collecting short-interval-traffic data from routers. An example is a heavy load on routers or inaccurate measurement by the short-polling interval; it even demands expensive measurement tools. To resolve these disadvantages, an estimating method of short-interval-traffic distribution (EMSIT) has been proposed. This method estimates short-interval-traffic distributions using MIB (Management Information Base) data, which collects traffic volumes in cycles of several minutes. In this paper, we propose a new estimation method (EMSIT-LD) based on EMSIT, which applies to the case of long-term-traffic dynamics. We evaluate it using computer simulations and actual traffic data.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E89-B No.4 pp.1110-1118
- Publication Date
- 2006/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e89-b.4.1110
- Type of Manuscript
- Special Section PAPER (Special Section on Internet Technology VI)
- Category
Authors
Keyword
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Tadayoshi FUKAMI, Hiroki NISHIKAWA, Takuya ASAKA, Tatsuro TAKAHASHI, Noriteru SHINAGAWA, "Estimating Method of Short-Interval-Traffic Distribution Considering Long-Term-Traffic Dynamics for Multimedia QoS Management" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 4, pp. 1110-1118, April 2006, doi: 10.1093/ietcom/e89-b.4.1110.
Abstract: Analyzing short-interval-traffic behaviors is important for network performance management to realize high quality multimedia applications. However, it is difficult to measure short-interval-traffic volumes because there are complications in collecting short-interval-traffic data from routers. An example is a heavy load on routers or inaccurate measurement by the short-polling interval; it even demands expensive measurement tools. To resolve these disadvantages, an estimating method of short-interval-traffic distribution (EMSIT) has been proposed. This method estimates short-interval-traffic distributions using MIB (Management Information Base) data, which collects traffic volumes in cycles of several minutes. In this paper, we propose a new estimation method (EMSIT-LD) based on EMSIT, which applies to the case of long-term-traffic dynamics. We evaluate it using computer simulations and actual traffic data.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.4.1110/_p
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@ARTICLE{e89-b_4_1110,
author={Tadayoshi FUKAMI, Hiroki NISHIKAWA, Takuya ASAKA, Tatsuro TAKAHASHI, Noriteru SHINAGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Estimating Method of Short-Interval-Traffic Distribution Considering Long-Term-Traffic Dynamics for Multimedia QoS Management},
year={2006},
volume={E89-B},
number={4},
pages={1110-1118},
abstract={Analyzing short-interval-traffic behaviors is important for network performance management to realize high quality multimedia applications. However, it is difficult to measure short-interval-traffic volumes because there are complications in collecting short-interval-traffic data from routers. An example is a heavy load on routers or inaccurate measurement by the short-polling interval; it even demands expensive measurement tools. To resolve these disadvantages, an estimating method of short-interval-traffic distribution (EMSIT) has been proposed. This method estimates short-interval-traffic distributions using MIB (Management Information Base) data, which collects traffic volumes in cycles of several minutes. In this paper, we propose a new estimation method (EMSIT-LD) based on EMSIT, which applies to the case of long-term-traffic dynamics. We evaluate it using computer simulations and actual traffic data.},
keywords={},
doi={10.1093/ietcom/e89-b.4.1110},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - Estimating Method of Short-Interval-Traffic Distribution Considering Long-Term-Traffic Dynamics for Multimedia QoS Management
T2 - IEICE TRANSACTIONS on Communications
SP - 1110
EP - 1118
AU - Tadayoshi FUKAMI
AU - Hiroki NISHIKAWA
AU - Takuya ASAKA
AU - Tatsuro TAKAHASHI
AU - Noriteru SHINAGAWA
PY - 2006
DO - 10.1093/ietcom/e89-b.4.1110
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2006
AB - Analyzing short-interval-traffic behaviors is important for network performance management to realize high quality multimedia applications. However, it is difficult to measure short-interval-traffic volumes because there are complications in collecting short-interval-traffic data from routers. An example is a heavy load on routers or inaccurate measurement by the short-polling interval; it even demands expensive measurement tools. To resolve these disadvantages, an estimating method of short-interval-traffic distribution (EMSIT) has been proposed. This method estimates short-interval-traffic distributions using MIB (Management Information Base) data, which collects traffic volumes in cycles of several minutes. In this paper, we propose a new estimation method (EMSIT-LD) based on EMSIT, which applies to the case of long-term-traffic dynamics. We evaluate it using computer simulations and actual traffic data.
ER -
English
