IEICE TRANSACTIONS on Communications
Stability and Adaptability of Autonomous Decentralized Flow Control in High-Speed Networks
Summary :
This paper focuses on flow control in high-speed networks. Each node in a network handles its local traffic flow on the basis of only the information it is aware of, but it is preferable that the decision-making of each node leads to high performance of the whole network. To this end, we investigate the relationship between the flow control mechanism of each node and network performance. We consider the situation in which the capacity of a link in the network is changed but individual nodes are not aware of this. Then we investigate the stability and adaptability of the network performance, and discuss an appropriate flow control model on the basis of simulation results.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E86-B No.10 pp.2882-2890
- Publication Date
- 2003/10/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (IEICE/IEEE Joint Special Issue on Assurance Systems and Networks)
- Category
- Network Control and Management
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Keyword
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Chisa TAKANO, Masaki AIDA, "Stability and Adaptability of Autonomous Decentralized Flow Control in High-Speed Networks" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 10, pp. 2882-2890, October 2003, doi: .
Abstract: This paper focuses on flow control in high-speed networks. Each node in a network handles its local traffic flow on the basis of only the information it is aware of, but it is preferable that the decision-making of each node leads to high performance of the whole network. To this end, we investigate the relationship between the flow control mechanism of each node and network performance. We consider the situation in which the capacity of a link in the network is changed but individual nodes are not aware of this. Then we investigate the stability and adaptability of the network performance, and discuss an appropriate flow control model on the basis of simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_10_2882/_p
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@ARTICLE{e86-b_10_2882,
author={Chisa TAKANO, Masaki AIDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Stability and Adaptability of Autonomous Decentralized Flow Control in High-Speed Networks},
year={2003},
volume={E86-B},
number={10},
pages={2882-2890},
abstract={This paper focuses on flow control in high-speed networks. Each node in a network handles its local traffic flow on the basis of only the information it is aware of, but it is preferable that the decision-making of each node leads to high performance of the whole network. To this end, we investigate the relationship between the flow control mechanism of each node and network performance. We consider the situation in which the capacity of a link in the network is changed but individual nodes are not aware of this. Then we investigate the stability and adaptability of the network performance, and discuss an appropriate flow control model on the basis of simulation results.},
keywords={},
doi={},
ISSN={},
month={October},}
Copy
TY - JOUR
TI - Stability and Adaptability of Autonomous Decentralized Flow Control in High-Speed Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2882
EP - 2890
AU - Chisa TAKANO
AU - Masaki AIDA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2003
AB - This paper focuses on flow control in high-speed networks. Each node in a network handles its local traffic flow on the basis of only the information it is aware of, but it is preferable that the decision-making of each node leads to high performance of the whole network. To this end, we investigate the relationship between the flow control mechanism of each node and network performance. We consider the situation in which the capacity of a link in the network is changed but individual nodes are not aware of this. Then we investigate the stability and adaptability of the network performance, and discuss an appropriate flow control model on the basis of simulation results.
ER -
English
