document: Self-organized critical traffic in parallel computer networks In a recent paper , we analysed the dynamics of traffic flow in a simple , square lattice architecture . It was shown that a phase transition takes place between a free and a congested phase . The transition point was shown to exhibit optimal information transfer and wide fluctuations in time , with scale-free properties . In this paper , we further extend our analysis by considering a generalization of the previous model in which the rate of packet emission is regulated by the local congestion perceived by each node . As a result of the feedback between traffic congestion and packet release , the system is poised at criticality . Many well-known statistical features displayed by Internet traffic are recovered from our model in a natural way
doc_bio_tags: O O O O B I I O O O O O O O O O O O O O O O O B I I O O O O O O B I O O O O O O O B I O O B I O O O O B I I O B I O O O O O O O O O O O O O O O O O O O B O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O B I O O B I O O O O O O O O O
extractive_keyphrases: phase transition congested phase transition point optimal information transfer wide fluctuations generalization packet emission packet release statistical features internet traffic square lattice architecture parallel computer networks
abstractive_keyphrases: self-organized critical traffic traffic flow dynamics free phase scale-free properties