Results 21 to 30 of about 1,267,704 (337)
A QUANTUM IMPROVEMENT ON DIJKSTRA’S ALGORITHM FOR COMPUTER NETWORK ROUTING [PDF]
The aim of this paper is to improve the Dijkstra algorithm which is widely used in the internet routing. Quantum computing approach is used to improve the work of Dijkstra algorithm for network routing by exploiting the massive parallelism existing in ...
Rana F. Ghani, Ahmed T. Sadik
doaj +1 more source
LateX, 77 pages,23 figures; to appear in Annals of ...
MARZUOLI, ANNALISA, Rasetti Mario
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Computation in Gene Networks [PDF]
Genetic regulatory networks have the complex task of controlling all aspects of life. Using a model of gene expression by piecewise linear differential equations we show that this process can be considered as a process of computation. This is demonstrated by showing that this model can simulate memory bounded Turing machines.
Siegelmann, Hava, Ben-Hur, Asa
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First Educational Steps in SDN Application Development
Software Defined Networking (SDN) is a new approach in design, implementation and maintenance of computer networks. With SDN, it is possible to dramatically reduce business costs because the whole network can be maintained in a centralized fashion which ...
Martin Pokorný, Petr Zach
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PENGUJIAN QOS PADA IMPLEMENTASI SDN BERBASIS MININET DAN OPENDAYLIGHT MENGGUNAKAN TOPOLOGI TREE
The development of information technology and computer network from time to time is increasing along with the increase in user needs for both from the business, education, industrial, to data security side.
I Putu Agus Eka Pratama+1 more
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In this paper, a class of multi-group SEIQR models with random perturbation in computer network is investigated. The existence and uniqueness of global positive solution with any positive initial value are obtained.
Ramziya Rifhat +4 more
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Computing optimal shortcuts for networks [PDF]
We study augmenting a plane Euclidean network with a segment, called a shortcut, to minimize the largest distance between any two points along the edges of the resulting network. Problems of this type have received considerable attention recently, mostly for discrete variants of the problem.
Garijo Royo, Delia+3 more
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Deterministic networks for probabilistic computing [PDF]
AbstractNeuronal network models of high-level brain functions such as memory recall and reasoning often rely on the presence of some form of noise. The majority of these models assumes that each neuron in the functional network is equipped with its own private source of randomness, often in the form of uncorrelated external noise.
Jakob Jordan+7 more
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A Multilayer Model of Computer Networks [PDF]
The fundamental concept of applying the system methodology to network analysis declares that network architecture should take into account services and applications which this network provides and supports. This work introduces a formal model of computer networks on the basis of the hierarchical multilayer networks.
arxiv +1 more source
We present an introduction to the modeling of networks of nodes which parse the information presented to them into an output. One example is the nodes are excitable neurons which are collected into a nervous system for an animal whether invertebrate or vertebrate. We will focus on the development of the ideas and tools that might help us understand how
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