Presentation 2006-12-15
Adaptive Routing Algorithm Mimicking Enzymatic Negative Feedback Mechanism in Metabolic Networks
Tadasuke NOZOE, Takashi KAWAUCHI, Masahiro OKAMOTO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The routing algorithm of SPF is widely distribution in the Internet. Since this routing algorithm is designed in order to improve throughout 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 study, we design an adaptive routing to avoid the partial and time-variant congestions in the network. In addition we shall propose the method for the allocation of efficient adaptive nodes in scale-free network.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Adaptive Routing Algorithm / Bio-inspired Algorithm / Load Balancing / Scale-free Network
Paper # NS2006-148
Date of Issue

Conference Information
Committee NS
Conference Date 2006/12/7(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive Routing Algorithm Mimicking Enzymatic Negative Feedback Mechanism in Metabolic Networks
Sub Title (in English)
Keyword(1) Adaptive Routing Algorithm
Keyword(2) Bio-inspired Algorithm
Keyword(3) Load Balancing
Keyword(4) Scale-free Network
1st Author's Name Tadasuke NOZOE
1st Author's Affiliation Graduate School of Systems Life Sciences, Kyushu University()
2nd Author's Name Takashi KAWAUCHI
2nd Author's Affiliation Graduate School of Systems Life Sciences, Kyushu University
3rd Author's Name Masahiro OKAMOTO
3rd Author's Affiliation Graduate School of Systems Life Sciences, Kyushu University
Date 2006-12-15
Paper # NS2006-148
Volume (vol) vol.106
Number (no) 418
Page pp.pp.-
#Pages 6
Date of Issue