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Performance Analysis of Go Programs
Nešpor, Andrej ; Malík, Viktor (referee) ; Pavela, Jiří (advisor)
The goal of this thesis is to extend the performance versioning system Perun by implementing a module for profiling programs written in the Go language. This module implemets the profiler by instrumenting function calls and returns using eBPF technology. The tool can collect function run times and their traces. We can then interpret the outputted profiles as a Sankey diagram. Additionally we implemented a new way of visualizing the measured data using the so-called Sankey graph, which will help with their interpretation. Using the developed profiler we conduct a few experiments to verify its functionality and demonstrate its use.
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Performance Analysis of Web Applications
Valent, Tomáš ; Rogalewicz, Adam (referee) ; Pavela, Jiří (advisor)
Cieľ tejto práce je rozšíriť verejne dostupný verzovací systém – Perun implementáciou modulu, ktorý je schopný profilovať webové stránky naprogramované pomocou TypeScriptu prípadne JavaScriptu. Profiler je schopný zbierať metriky, ako napríklad dobu načítania webu, odozvu pri interakciách s webom čí spotrebu pamäti. Zároveň je modul schopný vizualizovať namerané výsledku pomocou heatmapy, pairplotu alebo grafom volaní.
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Performance Analysis of Python Programs
Helc, Matej Alexej ; Smrčka, Aleš (referee) ; Pavela, Jiří (advisor)
The goal of this work is to extend the Perun versioning system by adding a new module designed for profiling Python programs. This module profiles and analyzes key metrics, such as the execution times of individual program functions, including functions from called libraries. The profiler can not only collects this data, but also visualize it in the form of a FlameGraph. This approach provides developers with a deeper understanding of their programs' performance and facilitates more efficient optimization.
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A feedback profiling model for cybersecurity education and training
Lazarov, Willi ; Kuchař, Karel (referee) ; Martinásek, Zdeněk (advisor)
The need to educate users to some extent in cybersecurity is undeniable given the ever-increasing cyber threats. However, the approach to education and training cannot be simply generalized due to the different environments, technical backgrounds, and age groups of users. In addition, it is also important to proactively monitor, evaluate, and provide feedback to the individuals being taught or trained. The master's thesis addresses these challenges through the research and development of a feedback profiling model for effective cybersecurity education and training. The thesis first begins with a discussion of methods and techniques for cybersecurity education. Subsequently, the problem addressed is described in more detail, followed by the design of the proposed solution in the form of the profiling model with automatic feedback. The model, which consists of a profiling matrix, a profiling algorithm, and a learning curve, was first created and expressed mathematically without considering the properties of a particular cyber range platform and programming language, especially for easy replication, modification, and extension. Independently, the profiling model was implemented and subsequently integrated into the Brno University of Technology Cyber Arena (BUTCA) platform to validate the model on learning data from students of grammar schools, technical high schools, and universities. The resulting solution of this thesis brings to the cybersecurity field a new innovative approach to the evaluation of learned and trained users with an emphasis on individual feedback and continuous learning.
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Risk Management of Bank Credit System and Decision Making Process
Skovajsa, Radek ; Kryštof, Zdeněk (referee) ; Čižinská, Romana (advisor)
The theoretical part of this thesis describes the development of Czech banking sector, especially with emphasis on post-revolutionary rebirth within the new conditions of market economy. The following part demonstrates the decision-making credit account process of a bank on a particular case study based on the methodics and procedures leading up to maximal elimination of credit risk. At the same time, the author presents a partially modified internal opinion on a decision of particular business transaction. It is accented that every decision of a bank must comply with the regulations of CNB. The conclusion of the thesis affirms the maximal efforts of domestic banks to minimalize risks within their decision-making credit account processes, which is mirrored in current stability in the development of Czech banking sector.
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Design and Implementation of a Profiler for ASIPs
Richtarik, Pavel ; Hynek, Jiří (referee) ; Zachariášová, Marcela (advisor)
The major objective of this work is to analyse possibilities of profiling application specific instruction-set processors, to explore some common profiling techniques and to use the collected information to design and implement a new profiling tool suitable for utilization in the processors development and optimization. This bachelor thesis presents requirements on the new profiler and describes its key parts from the design and the implementation perspective.
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Library for Profiling of Data Structures of C/C++ Programs
Pavela, Jiří ; Rogalewicz, Adam (referee) ; Fiedor, Tomáš (advisor)
Performance bugs may greatly affect the quality of the system being developed and even cause irreversible damage in some critical sectors. Hence profiling - one of the currently most widespread technique of performance analysis - is usually applied to find the bugs. However, most of the current solutions commonly lack comprehensible graphical outputs and detailed analysis of algorithms in regard to their complexity. This thesis introduces a novel profiling tool which focuses on automatic estimation of complexity of dynamic data structures. The proposed approach collects statistical data out of program runs and uses regression analysis to find the most accurate model serving as an estimate of algorithmic complexity. The resulting prototype was subjected to a series of experiments that evaluate the accuracy of the results, demonstrate practical uses and illustrate the graphical output of the tool.
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Data Profiling Using IPFIX Mediator
Kozubík, Michal ; Bartoš, Václav (referee) ; Kořenek, Jan (advisor)
This thesis deals with the network data profiling using IPFIX mediator. The main task is effective data filtering and configurable profiles management. The profiles management is still not available for IPFIX mediator, which makes analysis of network traffic for users more difficult. Therefore this thesis deals with the design and implementation of configurable profiles management as a plug-in for IPFIX mediator. The plug-in uses profiles hierarchy with filtering rules for data sorting.
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Library for Profiling and Visualization of Memory Consumption of C/C++ Programs
Podola, Radim ; Peringer, Petr (referee) ; Fiedor, Tomáš (advisor)
Performance is an important and, for some classes of programs, even critical aspect of user experience. The current approaches to performance profiling are, however, far from being satisfactory. The aim of this bachelor's thesis is to extend the current state-of-the-art of profiling and visualization solutions, with novel techniques which can be used for a more efficient search of performance bugs in C/C++ programs and their subsequent interpretation to the end user. Thesis briefly introduces existing tools dealing with similar problems and then proposes a novel solution to collection of profiling data and their illustrative interpretation. The resulting implementation is, moreover, integrated in the Perun --- Performance Control System --- platform for profile versioning. The functionality of the implementation is demonstrated on a series of non-trivial programs.
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