TY - GEN
T1 - Biologically inspired adaptive routing by mimicking enzymic feedback control mechanism in the cell
AU - Kawauchi, Takashi
AU - Nozoe, Tadasuke
AU - Okamoto, Masahiro
PY - 2006/6/14
Y1 - 2006/6/14
N2 - The routing algorithm of SPF (Shortest Path First) [1] is widely distributed in large scale network such as internet. Since this routing algorithm is designed in order to improve throughput of each packet which is sequentially generated at the nodes, it is not suitable for averaging load balance in the network. The enzymic feedback in the cell is the typical and basic control mechanism which can realize homeostasis of the value of every reactant in the metabolic pathway. The purpose of this study is to design an adaptive routing in which the packets generated at the nodes can be sent to the final destinations with avoiding the partial and time-variant congestions in the network, and the load balance in the network can be averaged. We have proposed here a new biologically inspired adaptive routing algorithm by introducing an enzymic feedback control mechanism in the cell.
AB - The routing algorithm of SPF (Shortest Path First) [1] is widely distributed in large scale network such as internet. Since this routing algorithm is designed in order to improve throughput of each packet which is sequentially generated at the nodes, it is not suitable for averaging load balance in the network. The enzymic feedback in the cell is the typical and basic control mechanism which can realize homeostasis of the value of every reactant in the metabolic pathway. The purpose of this study is to design an adaptive routing in which the packets generated at the nodes can be sent to the final destinations with avoiding the partial and time-variant congestions in the network, and the load balance in the network can be averaged. We have proposed here a new biologically inspired adaptive routing algorithm by introducing an enzymic feedback control mechanism in the cell.
UR - http://www.scopus.com/inward/record.url?scp=33744922625&partnerID=8YFLogxK
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U2 - 10.1007/11613022_32
DO - 10.1007/11613022_32
M3 - Conference contribution
AN - SCOPUS:33744922625
SN - 3540312536
SN - 9783540312536
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 371
EP - 378
BT - Biologically Inspired Approaches to Advanced Information Technology - Second International Workshop, BioADIT 2006
T2 - 2nd International Workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2006
Y2 - 26 January 2006 through 27 January 2006
ER -