scholarly journals Quantitative recurrence properties and homogeneous self-similar sets

2018 ◽  
Vol 147 (4) ◽  
pp. 1453-1465
Author(s):  
Yuanyang Chang ◽  
Min Wu ◽  
Wen Wu
Keyword(s):  
Quantitative Recurrence ◽  
Self Similar

Self-similar collapse with non-radial motions

2006 ◽  
Vol 20 ◽  
pp. 1-4
Author(s):  
A. Nusser
Keyword(s):  
Self Similar

Representation of certain self-similar quasiperiodic tilings with perfect matching rules by discrete point sets

1994 ◽  
Vol 4 (6) ◽  
pp. 893-904 ◽  
Author(s):  
Richard Klitzing ◽  
Michael Baake
Keyword(s):  
Perfect Matching ◽  
Discrete Point ◽  
Point Sets ◽  
Self Similar ◽  
Matching Rules ◽  
Quasiperiodic Tilings

AN ADAPTIVE MONTE CARLO MARKOV CHAIN METHOD APPLIED TO THE FLOW INVOLVING SELF-SIMILAR PROCESSES IN POROUS MEDIA

2014 ◽  
Vol 17 (3) ◽  
pp. 225-237
Author(s):  
Juarez S. Azevedo ◽  
Gildeberto S. Cardoso ◽  
Leizer Schnitman
Keyword(s):  
Porous Media ◽  
Monte Carlo ◽  
Markov Chain ◽  
Monte Carlo Markov Chain ◽  
Adaptive Monte Carlo ◽  
Markov Chain Method ◽  
Self Similar

Plasma expansions in terms of self-similar solutions

2018 ◽  
Vol 5 (1) ◽  
pp. 4-15
Author(s):  
M. Murakami ◽  
Keyword(s):  
Self Similar ◽  
Similar Solutions

PREDICTING CHARACTERISTICS OF SELF SIMILAR TRAFFIC BY SPLINE-EXTRAPOLATION

2019 ◽  
Author(s):  
Irina Strelkovskay ◽  
Irina Solovskaya ◽  
Anastasija Makoganjuk ◽  
Nikolaj Severin
Keyword(s):  
Quality Characteristics ◽  
Traffic Prediction ◽  
Normative Values ◽  
Spline Functions ◽  
Network Nodes ◽  
Traffic Forecasting ◽  
Network Equipment ◽  
Self Similar ◽  
Accuracy Of Prediction

The problem of forecasting self-similar traffic, which is characterized by a considerable number of ripples and the property of long-term dependence, is considered. It is proposed to use the method of spline extrapolation using linear and cubic splines. The results of self-similar traffic prediction were obtained, which will allow to predict the necessary size of the buffer devices of the network nodes in order to avoid congestion in the network and exceed the normative values ​​of QoS quality characteristics. The solution of the problem of self-similar traffic forecasting obtained with the Simulink software package in Matlab environment is considered. A method of extrapolation based on spline functions is developed. The proposed method has several advantages over the known methods, first of all, it is sufficient ease of implementation, low resource intensity and accuracy of prediction, which can be enhanced by the use of quadratic or cubic interpolation spline functions. Using the method of spline extrapolation, the results of self-similar traffic prediction were obtained, which will allow to predict the required volume of buffer devices, thereby avoiding network congestion and exceeding the normative values ​​of QoS quality characteristics. Given that self-similar traffic is characterized by the presence of "bursts" and a long-term dependence between the moments of receipt of applications in this study, given predetermined data to improve the prediction accuracy, it is possible to use extrapolation based on wavelet functions, the so-called wavelet-extrapolation method. Based on the results of traffic forecasting, taking into account the maximum values ​​of network node traffic, you can give practical guidance on how traffic is redistributed across the network. This will balance the load of network objects and increase the efficiency of network equipment.

Self-similar traffic discrimination and generating methods based on fractal Brown motion

2013 ◽  
Vol 33 (4) ◽  
pp. 947-949
Author(s):  
Xueyuan ZHANG ◽  
Yonggang WANG ◽  
Qiong ZHANG
Keyword(s):  
Self Similar ◽  
Brown Motion

Routing Algorithm Based on Self-similar Traffic in Mobile Ad hoc Network

2011 ◽  
Vol 30 (6) ◽  
pp. 1475-1479
Author(s):  
Wei Tan ◽  
Xue-jun Sha ◽  
Yu-bin Xu
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Routing Algorithm ◽  
Self Similar ◽  
Mobile Ad Hoc
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