IEICE TRANSACTIONS on Communications
Detection of TCP Performance Degradation Using Link Utilization Statistics
Summary :
In this paper, we propose a method of detecting TCP performance degradation using only bottleneck-link utilization statistics: mean and variance. The variance of link utilization normally increases as the mean link-utilization increases. However, because link-utilization has a maximum of 100%, as the mean approaches 100%, the possible range of fluctuation becomes narrow and the variance decreases to zero. In this paper, using the M/G/R processor sharing model, we relate this phenomenon to the behavior of flows. We also show that by using this relationship, we can detect TCP performance degradation using the mean and variance of link utilization. In particular, this method enables a network operator to determine whether or not the degradation originates from the congestion of his/her own network. Because our method requires us to measure only link utilization, the cost of performance management can be greatly decreased compared with the conventional method, which requires dedicated functions for directly measuring the TCP performance.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E89-B No.1 pp.47-56
- Publication Date
- 2006/01/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e89-b.1.47
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Keisuke ISHIBASHI, Ryoichi KAWAHARA, Takuya ASAKA, Masaki AIDA, Satoshi ONO, Shoichiro ASANO, "Detection of TCP Performance Degradation Using Link Utilization Statistics" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 1, pp. 47-56, January 2006, doi: 10.1093/ietcom/e89-b.1.47.
Abstract: In this paper, we propose a method of detecting TCP performance degradation using only bottleneck-link utilization statistics: mean and variance. The variance of link utilization normally increases as the mean link-utilization increases. However, because link-utilization has a maximum of 100%, as the mean approaches 100%, the possible range of fluctuation becomes narrow and the variance decreases to zero. In this paper, using the M/G/R processor sharing model, we relate this phenomenon to the behavior of flows. We also show that by using this relationship, we can detect TCP performance degradation using the mean and variance of link utilization. In particular, this method enables a network operator to determine whether or not the degradation originates from the congestion of his/her own network. Because our method requires us to measure only link utilization, the cost of performance management can be greatly decreased compared with the conventional method, which requires dedicated functions for directly measuring the TCP performance.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.1.47/_p
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@ARTICLE{e89-b_1_47,
author={Keisuke ISHIBASHI, Ryoichi KAWAHARA, Takuya ASAKA, Masaki AIDA, Satoshi ONO, Shoichiro ASANO, },
journal={IEICE TRANSACTIONS on Communications},
title={Detection of TCP Performance Degradation Using Link Utilization Statistics},
year={2006},
volume={E89-B},
number={1},
pages={47-56},
abstract={In this paper, we propose a method of detecting TCP performance degradation using only bottleneck-link utilization statistics: mean and variance. The variance of link utilization normally increases as the mean link-utilization increases. However, because link-utilization has a maximum of 100%, as the mean approaches 100%, the possible range of fluctuation becomes narrow and the variance decreases to zero. In this paper, using the M/G/R processor sharing model, we relate this phenomenon to the behavior of flows. We also show that by using this relationship, we can detect TCP performance degradation using the mean and variance of link utilization. In particular, this method enables a network operator to determine whether or not the degradation originates from the congestion of his/her own network. Because our method requires us to measure only link utilization, the cost of performance management can be greatly decreased compared with the conventional method, which requires dedicated functions for directly measuring the TCP performance.},
keywords={},
doi={10.1093/ietcom/e89-b.1.47},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - Detection of TCP Performance Degradation Using Link Utilization Statistics
T2 - IEICE TRANSACTIONS on Communications
SP - 47
EP - 56
AU - Keisuke ISHIBASHI
AU - Ryoichi KAWAHARA
AU - Takuya ASAKA
AU - Masaki AIDA
AU - Satoshi ONO
AU - Shoichiro ASANO
PY - 2006
DO - 10.1093/ietcom/e89-b.1.47
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2006
AB - In this paper, we propose a method of detecting TCP performance degradation using only bottleneck-link utilization statistics: mean and variance. The variance of link utilization normally increases as the mean link-utilization increases. However, because link-utilization has a maximum of 100%, as the mean approaches 100%, the possible range of fluctuation becomes narrow and the variance decreases to zero. In this paper, using the M/G/R processor sharing model, we relate this phenomenon to the behavior of flows. We also show that by using this relationship, we can detect TCP performance degradation using the mean and variance of link utilization. In particular, this method enables a network operator to determine whether or not the degradation originates from the congestion of his/her own network. Because our method requires us to measure only link utilization, the cost of performance management can be greatly decreased compared with the conventional method, which requires dedicated functions for directly measuring the TCP performance.
ER -
English
