A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks

Tadasuke Nozoe, Takashi Kawauchi, Masahiro Okamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The routing algorithm of SPF is widely distributed in the Internet. Since this routing algorithm is designed in order to improve throughput of each packet, it is not suitable for averaging load balance in the network. On the contrary, metabolic networks in the cell can realize load balance and achieve fault tolerance by using enzymatic negative feedback mechanism. By mimicking enzymatic negative feedback mechanism, in this paper, we design an adaptive routing algorithm to avoid the partial and time-variant congestions in the network. In addition, we shall propose an efficient method for the allocation of the proposed adaptive nodes in a scale-free network.

Original languageEnglish
Title of host publicationIMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007
Pages1361-1365
Number of pages5
Publication statusPublished - Dec 1 2007
EventInternational MultiConference of Engineers and Computer Scientists 2007, IMECS 2007 - Kowloon, Hong Kong
Duration: Mar 21 2007Mar 23 2007

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2
ISSN (Print)2078-0958

Other

OtherInternational MultiConference of Engineers and Computer Scientists 2007, IMECS 2007
CountryHong Kong
CityKowloon
Period3/21/073/23/07

Fingerprint

Routing algorithms
Feedback control
Feedback
Complex networks
Adaptive algorithms
Fault tolerance
Throughput
Internet
Metabolic Networks and Pathways

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

Cite this

Nozoe, T., Kawauchi, T., & Okamoto, M. (2007). A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks. In IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007 (pp. 1361-1365). (Lecture Notes in Engineering and Computer Science; Vol. 2).

A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks. / Nozoe, Tadasuke; Kawauchi, Takashi; Okamoto, Masahiro.

IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007. 2007. p. 1361-1365 (Lecture Notes in Engineering and Computer Science; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nozoe, T, Kawauchi, T & Okamoto, M 2007, A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks. in IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007. Lecture Notes in Engineering and Computer Science, vol. 2, pp. 1361-1365, International MultiConference of Engineers and Computer Scientists 2007, IMECS 2007, Kowloon, Hong Kong, 3/21/07.
Nozoe T, Kawauchi T, Okamoto M. A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks. In IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007. 2007. p. 1361-1365. (Lecture Notes in Engineering and Computer Science).
Nozoe, Tadasuke ; Kawauchi, Takashi ; Okamoto, Masahiro. / A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks. IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007. 2007. pp. 1361-1365 (Lecture Notes in Engineering and Computer Science).
@inproceedings{bc65465c3c0045d6b9b2fe11a2567a18,
title = "A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks",
abstract = "The routing algorithm of SPF is widely distributed in the Internet. Since this routing algorithm is designed in order to improve throughput of each packet, it is not suitable for averaging load balance in the network. On the contrary, metabolic networks in the cell can realize load balance and achieve fault tolerance by using enzymatic negative feedback mechanism. By mimicking enzymatic negative feedback mechanism, in this paper, we design an adaptive routing algorithm to avoid the partial and time-variant congestions in the network. In addition, we shall propose an efficient method for the allocation of the proposed adaptive nodes in a scale-free network.",
author = "Tadasuke Nozoe and Takashi Kawauchi and Masahiro Okamoto",
year = "2007",
month = "12",
day = "1",
language = "English",
isbn = "9789889867171",
series = "Lecture Notes in Engineering and Computer Science",
pages = "1361--1365",
booktitle = "IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007",

}

TY - GEN

T1 - A bio-inspired adaptive routing based on enzymatic feedback control mechanism in metabolic networks

AU - Nozoe, Tadasuke

AU - Kawauchi, Takashi

AU - Okamoto, Masahiro

PY - 2007/12/1

Y1 - 2007/12/1

N2 - The routing algorithm of SPF is widely distributed in the Internet. Since this routing algorithm is designed in order to improve throughput of each packet, it is not suitable for averaging load balance in the network. On the contrary, metabolic networks in the cell can realize load balance and achieve fault tolerance by using enzymatic negative feedback mechanism. By mimicking enzymatic negative feedback mechanism, in this paper, we design an adaptive routing algorithm to avoid the partial and time-variant congestions in the network. In addition, we shall propose an efficient method for the allocation of the proposed adaptive nodes in a scale-free network.

AB - The routing algorithm of SPF is widely distributed in the Internet. Since this routing algorithm is designed in order to improve throughput of each packet, it is not suitable for averaging load balance in the network. On the contrary, metabolic networks in the cell can realize load balance and achieve fault tolerance by using enzymatic negative feedback mechanism. By mimicking enzymatic negative feedback mechanism, in this paper, we design an adaptive routing algorithm to avoid the partial and time-variant congestions in the network. In addition, we shall propose an efficient method for the allocation of the proposed adaptive nodes in a scale-free network.

UR - http://www.scopus.com/inward/record.url?scp=84888385063&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84888385063&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84888385063

SN - 9789889867171

T3 - Lecture Notes in Engineering and Computer Science

SP - 1361

EP - 1365

BT - IMECS 2007 - International MultiConference of Engineers and Computer Scientists 2007

ER -