Temat: complex systems - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Queuing in terms of complex systems
Autorzy:: Grabowski, F.
Paszkiewicz, A.
Bolanowski, M.
Powiązania:: https://bibliotekanauki.pl/articles/106320.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:: complex systems
queuing system
simple systems
Opis:: Limited resources are a natural feature of most real systems, both artificial and natural ones. This causes the need for effective management of access to existing resources. In this area, queuing systems are of special application. However, they are treated as simple systems for which two states are characteristic: work underload and work on the border of thermodynamic equilibrium.This approach is reflected in existing queue management mechanisms, that need to keep them in one of two mentioned states. On the other hand, they should be considered from the point of complex systems view, for which the third operation states: overload state is natural as well. In order to be closer to this issue, in this paper the authors consider queues performance from the perspective of complex systems.
Źródło:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2014, 14, 3; 7-13
1732-1360
2083-3628
Pojawia się w:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Physicist’s approach to public transportation networks: between data processing and statistical physics
Autorzy:: Korduba, Yaryna
Holovatch, Yurij
de Regt, Robin
Powiązania:: https://bibliotekanauki.pl/articles/1395932.pdf
Data publikacji:: 2019
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:: Complex systems
complex networks
statistical physics
transportation networks
Opis:: In this paper we aim to demonstrate how physical perspective enriches statistical analysis when dealing with a complex system of many interacting agents of non-physical origin. To this end, we discuss analysis of urban public transportation networks viewed as complex systems. In such studies, a multi-disciplinary approach is applied by integrating methods in both data processing and statistical physics to investigate the correlation between public transportation network topological features and their operational stability. These studies incorporate concepts of coarse graining and clusterization, universality and scaling, stability and percolation behavior, diffusion and fractal analysis.
Źródło:: Annales Universitatis Mariae Curie-Skłodowska, sectio A – Mathematica; 2019, 73, 2
0365-1029
2083-7402
Pojawia się w:: Annales Universitatis Mariae Curie-Skłodowska, sectio A – Mathematica
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Some preliminary results of memory cache analysis with the use of non-extensive
Autorzy:: Strzałka, D.
Powiązania:: https://bibliotekanauki.pl/articles/106168.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:: complex systems
cache memory
system counters
sallis entropy
Opis:: The problem of modeling different parts of computer systems requires accurate statistical tools. Cache memory systems is an inherent part of nowadays computer systems, where the memory hierarchical structure plays a key point role in behavior and performance of the whole system. In the case of Windows operating systems, cache memory is a place in memory subsystem where the I/O system puts recently used data from disk. In paper some preliminary results about statistical behavior of one selected system counter behavior are presented. Obtained results shown that the real phenomena, which have appeared during human-computer interaction, can be expressed in terms of non-extensive statistics that is related to Tsallis proposal of new entropy definition.
Źródło:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2016, 16, 2; 43-47
1732-1360
2083-3628
Pojawia się w:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:: Biblioteka Nauki

Artykuł

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