We have previously proposed a diffusion-type flow control mechanism as a solution for severely time-sensitive flow control required for high-speed networks. In this mechanism, each node in a network manages its local traffic flow using the basis of only the local information directly available to it, by using predetermined rules. In addition, the implementation of decision-making at each node can lead to optimal performance for the whole network. Our previous studies show that our flow control mechanism with certain parameter settings works well in high-speed networks. However, to apply this mechanism to actual networks, it is necessary to clarify how to design a parameter in our control mechanism. In this paper, we investigate the range of the parameter and derive its optimal value enabling the diffusion-type flow control to work effectively.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Chisa TAKANO, Keita SUGIYAMA, Masaki AIDA, "Parameter Design for Diffusion-Type Autonomous Decentralized Flow Control" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 9, pp. 2828-2837, September 2008, doi: 10.1093/ietcom/e91-b.9.2828.
Abstract: We have previously proposed a diffusion-type flow control mechanism as a solution for severely time-sensitive flow control required for high-speed networks. In this mechanism, each node in a network manages its local traffic flow using the basis of only the local information directly available to it, by using predetermined rules. In addition, the implementation of decision-making at each node can lead to optimal performance for the whole network. Our previous studies show that our flow control mechanism with certain parameter settings works well in high-speed networks. However, to apply this mechanism to actual networks, it is necessary to clarify how to design a parameter in our control mechanism. In this paper, we investigate the range of the parameter and derive its optimal value enabling the diffusion-type flow control to work effectively.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.9.2828/_p
Copy
@ARTICLE{e91-b_9_2828,
author={Chisa TAKANO, Keita SUGIYAMA, Masaki AIDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Parameter Design for Diffusion-Type Autonomous Decentralized Flow Control},
year={2008},
volume={E91-B},
number={9},
pages={2828-2837},
abstract={We have previously proposed a diffusion-type flow control mechanism as a solution for severely time-sensitive flow control required for high-speed networks. In this mechanism, each node in a network manages its local traffic flow using the basis of only the local information directly available to it, by using predetermined rules. In addition, the implementation of decision-making at each node can lead to optimal performance for the whole network. Our previous studies show that our flow control mechanism with certain parameter settings works well in high-speed networks. However, to apply this mechanism to actual networks, it is necessary to clarify how to design a parameter in our control mechanism. In this paper, we investigate the range of the parameter and derive its optimal value enabling the diffusion-type flow control to work effectively.},
keywords={},
doi={10.1093/ietcom/e91-b.9.2828},
ISSN={1745-1345},
month={September},}
Copy
TY - JOUR
TI - Parameter Design for Diffusion-Type Autonomous Decentralized Flow Control
T2 - IEICE TRANSACTIONS on Communications
SP - 2828
EP - 2837
AU - Chisa TAKANO
AU - Keita SUGIYAMA
AU - Masaki AIDA
PY - 2008
DO - 10.1093/ietcom/e91-b.9.2828
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2008
AB - We have previously proposed a diffusion-type flow control mechanism as a solution for severely time-sensitive flow control required for high-speed networks. In this mechanism, each node in a network manages its local traffic flow using the basis of only the local information directly available to it, by using predetermined rules. In addition, the implementation of decision-making at each node can lead to optimal performance for the whole network. Our previous studies show that our flow control mechanism with certain parameter settings works well in high-speed networks. However, to apply this mechanism to actual networks, it is necessary to clarify how to design a parameter in our control mechanism. In this paper, we investigate the range of the parameter and derive its optimal value enabling the diffusion-type flow control to work effectively.
ER -