Presentation 2014-11-14
A Proposal of a Distributed Flow Control with Backward Propagation
Kohei TSUTSUMI, Hiroyuki OHSAKI, Hideaki SUZUKI,
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Abstract(in English) Control of a large-scale network using a centralized approach is essentially difficult due to its large end-to-end delay, high heterogeneity of a large number of network components, low availability and/or reliability caused by network component failures. In this paper, using an autonomous and distributed approach, we aim at realizing a control mechanism, which is scalable in terms of the network size, for joint optimization of the multi-path routing and bandwidth allocation (MRBA). In this paper, we propose a distributed and scalable flow control mechanism called DFC-BP (Distributed Flow Control with Backward Propagation), which simultaneously solves multi-path routing and bandwidth allocation. DFC-BP is an autonomous and decentralized hop-by-hop flow control mechanism which can minimize the total network cost utilizing the backward propagation from downstream nodes to upstream nodes. We also investigate the effectiveness of DFC-BP in terms of efficiency, transient performance, adaptability, and parameter sensitivity through simulation experiments. Our findings include that the total network cost realized by DFC-BP is comparable to that by a centralized heuristic algorithm, and that DFC-BP quickly adapts to the occurrence of multiple link failures.
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Keyword(in English) Distributed Flow Control / Large-Scale Network / Backward Propagation / Multi-Path Routing / Bandwidth Allocation / Steepest Descent Method
Paper # CQ2014-80
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Committee CQ
Conference Date 2014/11/6(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal of a Distributed Flow Control with Backward Propagation
Sub Title (in English)
Keyword(1) Distributed Flow Control
Keyword(2) Large-Scale Network
Keyword(3) Backward Propagation
Keyword(4) Multi-Path Routing
Keyword(5) Bandwidth Allocation
Keyword(6) Steepest Descent Method
1st Author's Name Kohei TSUTSUMI
1st Author's Affiliation Department of Informatics, School of Science and Technology, Kwansei Gakuin University()
2nd Author's Name Hiroyuki OHSAKI
2nd Author's Affiliation Department of Informatics, School of Science and Technology, Kwansei Gakuin University
3rd Author's Name Hideaki SUZUKI
3rd Author's Affiliation Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT)
Date 2014-11-14
Paper # CQ2014-80
Volume (vol) vol.114
Number (no) 298
Page pp.pp.-
#Pages 6
Date of Issue