scholarly journals Technical network equipment qualification : cubicle-class switches.

2003 ◽  
Author(s):  
Brian Richard Kellogg ◽  
Joseph Peter Brenkosh
Keyword(s):  
Network Equipment ◽  
Equipment Qualification

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.

Autonomous Raman Amplifiers using Standard Integrated Network Equipment

2021 ◽  
pp. 1-1
Author(s):  
Giacomo Borraccini ◽  
Stefano Staullu ◽  
Stefano Piciaccia ◽  
Alberto Tanzi ◽  
Antonino Nespola ◽  
...  
Keyword(s):  
Integrated Network ◽  
Raman Amplifiers ◽  
Network Equipment

scholarly journals Data-driven Tracing Method of Overload of Transmission Network Equipment

2020 ◽  
Vol 546 ◽  
pp. 052001
Author(s):  
Meng Li ◽  
Wei Wu ◽  
Yi Lin ◽  
Tongyu Yan ◽  
Pingfa Huang ◽  
...  
Keyword(s):  
Data Driven ◽  
Transmission Network ◽  
Network Equipment ◽  
Tracing Method

scholarly journals A centralized secure plan for detecting and mitigation incidents in hybrid SDN

2018 ◽  
Vol 189 ◽  
pp. 10015 ◽  
Author(s):  
Karim Zkik ◽  
Said EL Hajji ◽  
Ghizlane Orhanou
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
New Technologies ◽  
Software Defined Network ◽  
Centralized Control ◽  
Security Issues ◽  
Technology Sector ◽  
Network Equipment ◽  
Infrastructure Services ◽  
Hybrid Sdn

The information technology sector has experienced phenomenal growth during recent years. To follow this development many new technologies have emerged to satisfy the expectations of businesses and customers, such as Cloud Computing, mobility, virtualization, Internet of things and big data. Traditional network cannot longer support this growth and suffers more and more in terms of misconfiguration,management and configurations complexity. Software defined network (SDN) architectures can be considered as a big revolution in the field of computer networks, because they offer a centralized control on infrastructure, services and the applications deployed which facilitate configuration and management on the network. The implementation of this type of architecture is not obvious and requires great expertise and good handling and management of network equipment. To remedy this problem the SDN architectures have evolved towards distributed and hybrid architectures. Despites the advantages of using SDN, security issues remain a real obstacle in front of the deployment of this type of architecture. The centralized architecture of this type of networks makes it vulnerable to several types of attacks and intrusions, and the implementation of security equipment generally causes a decrease in performance and increase latency.

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