scholarly journals Influence of Model and Traffic Pattern on Determining the Self-Similarity in IP Networks

2020 ◽  
Vol 11 (1) ◽  
pp. 190
Author(s):  
Paweł Dymora ◽  
Mirosław Mazurek

This study aimed to determine the applicability of using selected libraries of computing environment R to establish the coefficient of self-similarity. R environment is an analytical environment with rich functionality that is used in many research and practical works concerning data analysis and knowledge discovery. Such an issue is significant in the context of contemporary wide area computer networks and the emerging type of network infrastructure IoT. This originates directly from the new nature of IoT traffic, which also has a substantial impact on Industry 4.0. It provides built-in operations facilitating data processing. The Hurst coefficient is used to evaluate traffic behavior and analyze its character. The study analyzed two cases of IoT network traffic: high and low intensity. For different sizes of time windows, we dermined the statistical Hurst exponent and compared it with standard, smoothed, and Robinson methods. The accuracy of the methods used was evaluated. Spectral regression graphs were additionally generated for selected motion variants. The obtained results were verified by Higuchi and Aggvar methods.

2018 ◽  
Vol 21 ◽  
pp. 00016 ◽  
Author(s):  
Paweł Dymora ◽  
Mirosław Mazurek ◽  
Dominik Strzałka

The article presents results of studies using simulations on computer network devices, designed to examine the effectiveness of routing protocols with the video streaming and generated traffic for Jperf applications. In order to demonstrate the effectiveness of the selected protocols several simulation scenarios were made using different sized UDP packets. The traffic was analyzed in terms of statistical self-similarity. Multifractal analysis has also been made, using two kinds of spectrums. The study determined the relationship between them. These tasks were designed to determine the multifractal and long-term relationship for a given process.


2021 ◽  
pp. 5-10
Author(s):  
Lyudmila Gomazkova ◽  
◽  
Oleg Bezbozhnov ◽  
Osamah Al-Qadi ◽  
Sergey Galich ◽  
...  

The hierarchical network model is the most preferable in the design of computer networks, as it allows you to create a more stable structure of network, rationally allocate available resources, and also provide a higher degree of data protection. In this work, the study of the behavior of the traffic during the transition from one level of the network hierarchy to another, based on the study of the values of the traffic self-similarity degree during this transition. For the study, a simulation model of a computer network with a hierarchical topology was developed using the NS-3 simulator. Also, a window application was developed in the Visual C# programming language. With the help of this application the degree of self-similarity of the traffic was investigated using the files obtained as a result of processing the trace file. Thus, as a result of the study, it can be stated that any changes in the degree of self-similarity of the network traffic when this traffic moves from one level of the hierarchy to another level depends on such a condition as the direction of traffic movement. The initial degree of selfsimilarity of network traffic also effects on the network traffic self-similarity degree.


2018 ◽  
Vol 1 (5) ◽  
Author(s):  
Shaojuan Hu ◽  
Chengyi Liu

Objective The photobiomodulation of low-intensity lasers can activate many pathways and molecules, which involved in tumor growth, invasion, metastasis, and resistance to drugs or radiation therapy, but studies of low-intensity lasers on tumor cell addiction, have not been reported. Numerous studies have shown that changes in plasma and muscle glutamine levels can occur when the body undergoes prolonged exercise (>1 hour) or overtraining. AZD8055 is a dual inhibitor of mammalian rapamycin complex (mTORC)1/mTORC2 that inhibits phosphorylation of mTORC1 (p70S6K and 4E-BP1), mTORC2 (AKT) and downstream proteins. Based on the experimental model of glutamine addiction in laboratory, we chose the worst conditions to cause super-proliferation of CT26 cells and simulate the drug resistance of solid tumors. The purpose is to study tumor deterioration from the perspective of tumor cell function. Under the state, the effect of low-intensity laser combined with AZD8055 on the proliferation of glutamine addiction in CT26 cells is also the development of exercise intervention tumors, and the experimental basis is proposed from the perspective of nutrient metabolism. Methods This experiment used a pre-experimental glutamine addiction model to culture mouse colon cancer CT26 cells after horse serum shock, and used different intensity 640±15 nm low-intensity lasers from light-emitting diode arrays (red light at 640±15 nm from Light emitting diode array, RLED), 15 min/day;different concentrations of AZD8055 (0 ~ 100μM) on different proliferative CT26 cells at different times. Cell proliferation was detected by MTT assay; mRNA levels of proliferation-related genes were detected by RT-PCR; protein levels were detected by western blot. The data were analyzed by SPSS21.0 statistical software and self-similarity index analysis. Among them, the statistical significance level was set at 0.05, P<0.05 was different; P<0.01 was significant difference. In the self-similarity index analysis method, l>0.8 is a significant difference. Results 1.CT26 cells were incubated at Gln7.94 mM until the 8th day, and AZD8055 was added at different concentrations. Compared with no inhibitor , and at 6 h, the cells were significantly increased when the concentration of AZD8055 was 0.001 μM, 1 μM, 10 μM and 100 μM. (P<0.01); at 12h, the cells were significantly inhibition when the of AZD8055>0.5μM (P<0.01). 2.From the growth inhibition rate analysis, at 48 h and 72 h, the inhibition rate exceeded 50%,when the concentration of AZD8055 was 100 μM (61.01% and 87.46%), when< 0.1 μM,  the cells were proliferation occurred at 48 h and 72 h, and it is drug resistance. 3.When AZD8055 combined with low-intensity laser treatment of CT26 cells, CT26 cells had different degrees of proliferative effects at different time points: 12h, 24h, 48h and 72h. Especially at 48h, the light intensity of LIL2 to LIL8 had a significant proliferative effect on CT26 cells (l≥0.8). 4.Compared with the control group (0 hours without inhibitor), the CT26 cells were treatment with AZD8055 1μM , the mRNA level of the gene GLUT1 was significantly down-regulated in all time periods (P<0.01). When the LIL(2.17 mW/cm2) combined AZD8055 (1μM) significantly promoted the proliferation of CT26 cells at 24h and 48h. It is related to up-regulated of protein expression in all time points: at 6h and 12h, the pMEK protein and the pMEK/ MEK were significantly up-regulated(P<0.01). At 24h, the expression of GLUT1 protein was up-regulated(P<0.01), MEK protein, pERK protein and ERK/ pERK were significantly up-regulated (P<0.01).  At 48h, the GLUT1 protein, MEK protein , pERK protein and pERK/ERK were up-regulated (P<0.01). Conclusions 1.The minimum inhibitory concentration of AZD8055 on super-proliferative CT26 cells was 0.5 μM, and the super-proliferative state showed more obvious drug resistance. 2.When low-intensity lasers combined with AZD8055 treated CT26  super-proliferating cells, CT26 cells are not sensitive to AZD8055, while low-intensity lasers promote CT26 cells proliferation by up-regulating MEK/ERK signaling pathways.


2018 ◽  
Vol 29 (03) ◽  
pp. 1850026 ◽  
Author(s):  
N. Lakouari ◽  
O. Oubram ◽  
H. Ez-Zahraouy ◽  
L. Cisneros-Villalobos ◽  
J. G. Velásquez-Aguilar

In this paper, we propose a stochastic cellular automata model to study the traffic behavior at a single-lane roundabout. Vehicles can enter the interior lane or exit from it via [Formula: see text] intersecting lane, the boundary conditions are stochastic. The traffic is controlled by a self-organized scheme. It has turned out that depending on the rules of insertion to the roundabout, five distinct traffic phases can appear, namely, free flow, congestion, maximum current, jammed and gridlock. The transition between the free flow and the gridlock is forbidden. The density profiles are used to study the traffic pattern at the interior lane of the roundabout. In order to quantify the interactions between vehicles in the interior lane of the roundabout, the velocity correlation coefficient (VCC) is also studied. Besides, the spatiotemporal diagrams corresponding to the entry/exit lanes are derived numerically. Furthermore, we have investigated the effect of displaying signal ([Formula: see text], as the [Formula: see text] decreases, the maximum current increases at the expense of the free flow and the jamming phase. Finally, we have investigated the effect of the braking probability [Formula: see text] on the interior lane of the roundabout. We have found that the increase of [Formula: see text] raises the spontaneous jam formation on the ring. Thus, enlarges the maximum current and the jamming phase while the free flow phase decreases.


Author(s):  
Antonio Nucci ◽  
Konstantina Papagiannaki
Keyword(s):  

2017 ◽  
Vol 2 (1) ◽  
pp. 31-36
Author(s):  
Pascal Wabnitz ◽  
Michael Schulz ◽  
Michael Löhr ◽  
André Nienaber

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