4,639 research outputs found

    Effects of variations of load distribution on network performance

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    This paper is concerned with the characterization of the relationship between topology and traffic dynamics. We use a model of network generation that allows the transition from random to scale free networks. Specifically, we consider three different topological types of network: random, scale-free with \gamma = 3, scale-free with \gamma = 2. By using a novel LRD traffic generator, we observe best performance, in terms of transmission rates and delivered packets, in the case of random networks. We show that, even if scale-free networks are characterized by shorter characteristic-path- length (the lower the exponent, the lower the path-length), they show worst performances in terms of communication. We conjecture this could be explained in terms of changes in the load distribution, defined here as the number of shortest paths going through a given vertex. In fact, that distribu- tion is characterized by (i) a decreasing mean (ii) an increas- ing standard deviation, as the networks becomes scale-free (especially scale-free networks with low exponents). The use of a degree-independent server also discriminates against a scale-free structure. As a result, since the model is un- controlled, most packets will go through the same vertices, favoring the onset of congestion.Comment: 4 pages, 4 figures, included in conference proceedings ISCAS 2005, Kobe Japa

    Communication models with distributed transmission rates and buffer sizes

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    The paper is concerned with the interplay between network structure and traffic dynamics in a communications network, from the viewpoint of end-to-end performance of packet transfer. We use a model of network generation that allows the transition from random to scale-free networks. Specifically, we are able to consider three different topologycal types of networks: (a) random; (b) scale-free with \gamma=3; (c) scale free with \gamma=2. We also use an LRD traffic generator in order to reproduce the fractal behavior that is observed in real world data communication. The issue is addressed of how the traffic behavior on the network is influenced by the variable factors of the transmission rates and queue length restrictions at the network vertices. We show that these factors can induce drastic changes in the throughput and delivery time of network performance and are able to counter-balance some undesirable effects due to the topology.Comment: 4 pages, 5 figures, IEEE Symposium on Circuits and Systems, Island of Kos, Greece, 200

    Directed Percolation and Generalized Friendly Walkers

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    We show that the problem of directed percolation on an arbitrary lattice is equivalent to the problem of m directed random walkers with rather general attractive interactions, when suitably continued to m=0. In 1+1 dimensions, this is dual to a model of interacting steps on a vicinal surface. A similar correspondence with interacting self-avoiding walks is constructed for isotropic percolation.Comment: 4 pages, 3 figures, to be published in Phys. Rev. Let

    Kanawha research farm celebrates 75 years

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    In 1931, a group of farmers started the Northern Iowa Research Association to work on problems specific to northern Iowa farmers. The Northern Iowa Research Association purchased a farm on the southern edge of Kanawha and has encouraged Iowa State University researchers to conduct work there. Since its beginning, this farm has conducted research in flax production, sugar beet production, small grain management, corn and soybean breeding, weed management, nutrient management (nitrogen, phosphorus, potassium), soybean cyst nematode, tillage, replant decisions, and rotations

    Reminder: Fall pesticide training

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    Iowa State University\u27s Extension Pest Management and the Environment program, in cooperation with the Iowa Department of Agriculture and Land Stewardship, provides continuing instructional courses (CIC) at sites across Iowa for certified commercial applicators. Obtain a registration form on the Web atwww.extension.iastate.edu/pme or visit your local county extension office
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