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Computer networks as complex systems in nonextensive approach

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Języki publikacji
EN
Abstrakty
EN
Contemporary computer networks fit into the category of complex systems. However, many models still are based on an idealistic paradigm of simple systems based on thermodynamic equilibrium. In order to understand and optimize the design of real networks it is necessary to understand and describe their non extensive operation aspects. Therefore, it is necessary to explain such concepts as self-organization, self-adaptation and matching load to finite resources.
Rocznik
Strony
29--44
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
autor
  • Rzeszow University of Technology, Department of Distributed Systems al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland
  • Rzeszow University of Technology, Department of Distributed Systems al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland
  • Rzeszow University of Technology, Department of Distributed Systems al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland
Bibliografia
  • [1] Coulouris, G., Dollimore, J., Kindberg, T., and Blair, G., Distributed Systems - Concepts and Design, Boston, Addison-Wesley, 2012, (in English).
  • [2] Song, C., Havlin, S., and Makse, H., Origins of fractality in the growth of complex networks, Nature Physics, Vol. 2, No. 4, 2006, pp. 257–281.
  • [3] Grabowski, F., Computer Science and Logistics Engineering, In: IACSIT Press, 2011, (in English).
  • [4] Grabowski, F., Nonextensive model of self-organizing systems, Complexity, Vol. 18, No. 5, 2013, pp. 28–36.
  • [5] Grabowski, F., Logistic equation of arbitrary order, Physica A: Statistical Mechanics and its Applications, Vol. 389, No. 16, 2010, pp. 3081–3093.
  • [6] Von Bertalanffy, L., General System Theory: Foundations, Development, Applications, George Braziller Inc., 1969, (in English).
  • [7] Boulding, K., General Systems Theory – The Skeleton of Science, Management Science, Vol. 2, No. 3, 1956, pp. 197–208.
  • [8] Nicolis, G. and Nicolis, C., Foundations of Complex Systems: Emergence, Information and Predicition, World Scientific Publishing Co., 2012, (in English).
  • [9] Bertelle, C., Duchamp, G., and Kadri-Dahmani, H., Complex Systems and Self-Organization Modelling, Springer, 2009, (in English).
  • [10] Kron, T. and Grund, T., Society as a Selforganized Critical System, Cybernetics and Knowing, Vol. 16, No. 1-2, 2009, pp. 65–82.
  • [11] Easley, D. and Kleinberg, J., Networks, Crowds, and Markets: Reasoning About a Highly Connected World, Cambridge University Press, 2010, (in English).
  • [12] Barabási, A., Scale-Free Networks: A Decade and Beyond, Science Magazine, Vol. 325, No. 5939, 2009, pp. 412–413.
  • [13] Gershenson, C., Design and Control of Self-organizing Systems, Ph.D. thesis, Vrije Universiteit Brussel, 2007, (in English).
  • [14] Malthus, T., An essay on the Principle of Population, Pickering, 1978, (in English).
  • [15] Tsallis, C., Possible generalization of Boltzmann-Gibbs statistics, Journal Statistical Physics, Vol. 52, No. 1/2, 1988, pp. 479–487.
  • [16] Tsallis, C., What are the numbers that experiments provide? Quimica Nova, Vol. 17, No. 2, 1994, pp. 468–471.
Typ dokumentu
Bibliografia
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