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Application of HM-networks with positive and negative heterogeneous requests for finding memory volume in information systems

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EN
Abstrakty
EN
To determine the memory volume of information systems (IS), it was proposed to use a stochastic model, based on the use of a queueing network with bypasses, known as an HM-network. This model includes the servicing of heterogeneous requests along with their volumes, the ability to change the volume of such requests with their passage of time and the possibility of finding computer viruses in them, and therefore servicing requests can be interrupted at some random time. The expressions were obtained for the expected total values of the volume of requests in IS nodes.
Rocznik
Strony
67--77
Opis fizyczny
Bibliogr. 9 poz., tab.
Twórcy
  • Institute of Mathematics, Czestochowa University of Technology Czestochowa, Poland
autor
  • Institute of Mathematics, Czestochowa University of Technology Czestochowa, Poland
  • Faculty of Mathematics and Computer Science, Grodno State Univercity Grodno, Belarus
Bibliografia
  • [1] Tikhonenko, O. (2006). Metody probalistyczne analizy systemow informacyjnych. Warszawa: Akademicka Oficyna Wydawnicza EXIT.
  • [2] Matalytski, M., & Naumenko, V. (2016). Stochastic Networks with Nonstandard Moving Customers. Grodno: GrSu (In Russian).
  • [3] Matalytski, M., & Naumenko, V. (2015). Zastosowanie HM-sieci kolejkowych dla wyznaczenia objętości pamięci systemow informacyjnych. Studia Informatica, 35(3), 63-69.
  • [4] Matalytski, M., & Zajac, P. (2017). Finding of expected volumes of request in systems of the queueing network with limited amount of spaces of expectations. Studia Informatica, 38(1B), 89-104.
  • [5] Matalytski, M., & Zajac, P. (2017). Application of HM-networks with impatient claims in finding the memory capacity in the information systems. Journal of Applied Mathematics and Computational Mechanics, 16(3), 47-59.
  • [6] Matalytski, M., Zajac, P., & Kopats, D. (2018). Application of HM-networks with unreliable systems for finding the memory capacity in the information systems. Journal of Applied Mathematics and Computational Mechanics, 17(2), 51-63.
  • [7] Gelenbe, E. (1991). Product form queueing networks with negative and positive customers. Journal of Applied Probability, 28, 656-663.
  • [8] Fourneau, J.M. (1996). G-networks with multiple classes of negative and positive customers. Theoretical Computer Science, 155(1), 141-156.
  • [9] Gelenbe, E. (2002). G-Networks: Multiple Classes of Positive Customers, Signals, and Product Form. Results Performance Evaluation of Complex Systems: Techniques and Tools. Lecture Notes in Computer Science, 1-16.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8c908f66-2153-465b-a856-8f1ed1eb4e42
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