National Repository of Grey Literature 7 records found  Search took 0.01 seconds. 
Network Traffic Simulation and Generation
Matoušek, Jiří ; Kořenek, Jan (referee) ; Korček, Pavol (advisor)
Development of computer networks able to operate at the speed of 10 Gb/s imposes new requirements on newly developed network devices and also on a process of their testing. Such devices are tested by replaying synthetic or previously captured network traffic on an input link of the tested device. We must be able to perform both tasks also at full wire speed. Current testing devices are either not able to operate at the speed of 10 Gb/s or they are too expensive. Therefore, the aim of this thesis is to design and implement a hardware accelerated application able to generate and replay network traffic at the speed of 10 Gb/s. The application is accelerated in the FPGA of the COMBOv2 card and it also utilizes the NetCOPE platform. Architecture of the application is modular, which allows easy implementation of different modes of operation. The application implements both capturing and replaying network traffic at full wire speed, but traffic can be limited to a specified value of bitrate at the output. The thesis is concluded by a comparison of the implemented application and the packet generator implemented on the NetFPGA platform. According to this comparison, the implemented application is better than the NetFPGA packet generator.
A Software Tool for Analyzing Stochastic Data
Lipták, Juraj ; Peringer, Petr (referee) ; Hrubý, Martin (advisor)
This thesis discusses the possibility of modeling stochastic processes. Elements of the system with the source of randomness in some cases may be represented by probability distribution. The reader will be acquainted with methods of statistical induction for selecting suitable distribution and generating random numbers. Tool developed in this project aims to propose appropriate probability distribution based on empirical data and provide random variable generating with proposed distribution.
Synthetic Image Noise Generators
Sigmund, Pavel ; Herout, Adam (referee) ; Španěl, Michal (advisor)
  In this work I'm implementing library for generating basic kinds of noises which I'm also using for generating procedural textures and height maps . I have focused on K. Perlin method frequently used for making textures with nature-based motives, like wood, marble or clouds. I've implemented this method into the library to make 2D and 3D textures. Library used for generating  noises, thanks to its variability, is not ment as a source of generated pseudo-random numbers for K. Perlin method only, but we can also use it as a tool to add a noise to any kind of data.
Generating Pseudo-Random Numbers by Means of Cellular Automata
Krofingerová, Lada ; Drábek, Vladimír (referee) ; Bidlo, Michal (advisor)
This thesis deals with generating pseudo-random number by means of cellular automat. The methods which are already used were explored, including steps which were used to design the cellular automata. As follow-up to these methods the four state celullular automaton was designed for the purpose of improving the quality of generated numbers. For design of the rule table was used the genetic algorithm. For comparision with already used methods were used the statistical tests. They showed that even though the four state cellular automaton is good generator of the pseudo-random numbers, in state which it was designed it isn’t better in generating then already used cellular automata.
Network Traffic Simulation and Generation
Matoušek, Jiří ; Kořenek, Jan (referee) ; Korček, Pavol (advisor)
Development of computer networks able to operate at the speed of 10 Gb/s imposes new requirements on newly developed network devices and also on a process of their testing. Such devices are tested by replaying synthetic or previously captured network traffic on an input link of the tested device. We must be able to perform both tasks also at full wire speed. Current testing devices are either not able to operate at the speed of 10 Gb/s or they are too expensive. Therefore, the aim of this thesis is to design and implement a hardware accelerated application able to generate and replay network traffic at the speed of 10 Gb/s. The application is accelerated in the FPGA of the COMBOv2 card and it also utilizes the NetCOPE platform. Architecture of the application is modular, which allows easy implementation of different modes of operation. The application implements both capturing and replaying network traffic at full wire speed, but traffic can be limited to a specified value of bitrate at the output. The thesis is concluded by a comparison of the implemented application and the packet generator implemented on the NetFPGA platform. According to this comparison, the implemented application is better than the NetFPGA packet generator.
Synthetic Image Noise Generators
Sigmund, Pavel ; Herout, Adam (referee) ; Španěl, Michal (advisor)
  In this work I'm implementing library for generating basic kinds of noises which I'm also using for generating procedural textures and height maps . I have focused on K. Perlin method frequently used for making textures with nature-based motives, like wood, marble or clouds. I've implemented this method into the library to make 2D and 3D textures. Library used for generating  noises, thanks to its variability, is not ment as a source of generated pseudo-random numbers for K. Perlin method only, but we can also use it as a tool to add a noise to any kind of data.
A Software Tool for Analyzing Stochastic Data
Lipták, Juraj ; Peringer, Petr (referee) ; Hrubý, Martin (advisor)
This thesis discusses the possibility of modeling stochastic processes. Elements of the system with the source of randomness in some cases may be represented by probability distribution. The reader will be acquainted with methods of statistical induction for selecting suitable distribution and generating random numbers. Tool developed in this project aims to propose appropriate probability distribution based on empirical data and provide random variable generating with proposed distribution.

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