National Repository of Grey Literature 48 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Distributed Tool for Extraction of Information from Network Flows
Sedlák, Michal ; Grégr, Matěj (referee) ; Žádník, Martin (advisor)
This work deals with the extraction of information from flow records that are the result of network monitoring by the IPFIX system. The goal of the work is to design a tool that allows querying stored network flows created by the open-source collector IPFIXcol2. Querying is performed with the highest possible efficiency and performance in mind, which is achieved by using appropriate data structures and thread-level parallelization, as well as by using multiple machines.
Dependency of the Convergence Rate Mean Extent of Variation on the Repetitions Number in Weakly Connected Topologies
Kenyeres, Martin ; Novotný, Bohumil
This paper deals with the stochastic distributed algorithm – the push-sum protocol. We examine the effect of experiments repetitions on the mean of the convergence rates quantities. The main goal of the executed experiments is to show how many repetitions of the push-sum protocol are necessary to achieve a statistically credible representative of the obtained set of data. Within this paper, we have focused on weakly connected structures.
Dependency of the Convergence Rate Mean Extent of Variation on the Repetitions Number in Strongly Connected Topologies
Kenyeres, Martin ; Novotný, Bohumil
This paper deals with the stochastic distributed algorithm – the push-sum protocol. We examine the effect of experiments repetitions on the mean of the convergence rates quantities. The main goal of the executed experiments is to show how many repetitions of the push-sum protocol are necessary to achieve a statistically credible representative of the obtained set of data. Within this paper, we have focused on strongly connected structures.
Analysis and Improvement of Distributed Systems
Kenyeres, Martin ; Sýkora, Jiří (referee) ; Klučik,, Stanislav (referee) ; Škorpil, Vladislav (advisor)
A significant progress in the evolution of the computer systems and their interconnection over the past 70 years has allowed replacing the frequently used centralized architectures with the highly distributed ones, formed by independent entities fulfilling specific functionalities as one user-intransparent unit. This has resulted in an intense scientic interest in distributed algorithms and their frequent implementation into real systems. Especially, distributed algorithms for multi-sensor data fusion, ensuring an enhanced QoS of executed applications, find a wide usage. This doctoral thesis addresses an optimization and an analysis of the distributed systems, namely the distributed consensus-based algorithms for an aggregate function estimation (primarily, my attention is focused on a mean estimation). The first section is concerned with a theoretical background of the distributed systems, their evolution, their architectures, and a comparison with the centralized systems (i.e. their advantages/disadvantages). The second chapter deals with multi-sensor data fusion, its application, the classification of the distributed estimation techniques, their mathematical modeling, and frequently quoted algorithms for distributed averaging (e.g. protocol Push-Sum, Metropolis-Hastings weights, Best Constant weights etc.). The practical part is focused on mechanisms for an optimization of the distributed systems, the proposal of novel algorithms and complements for the distributed systems, their analysis, and comparative studies in terms of such as the convergence rate, the estimation precision, the robustness, the applicability to real systems etc.
Grid and Cloud Computing
Began, Jakub ; Dobrovský, Ladislav (referee) ; Šeda, Miloš (advisor)
The bachelor thesis deals with cloud and grid technologies. The first part discusses cloud computing technology, its components, infrastructure, models, advantages, disadvantages, and security risks. The following section describes computing and data grids, their function, use and security. The last part of the thesis shows an overview of the commercial market of cloud and grid services.
Distributed Computing by force of Action Script
Minář, Petr ; Kuba,, Martin (referee) ; Matoušek, Radomil (advisor)
This Master thesis deals with designing and realization of optimalization software in ActionScript 3.0 background. The designed applications realized in terms of computation by standalone and distributed variant and by means of chosen heuristic method called HC12. For verification of a function and performance was select set of testing examples. The main purpose of the work was create public clients in the network internet and calculated partial computing by it. The completed clients are selected by competence and carry on tasks. This research has been supported by the Czech Ministry of Education in the frame of MSM 0021630529 Research Intention Intelligent Systems in Automation.
Distributed Rendering on WebGL Platform
Svačina, Lukáš ; Navrátil, Jan (referee) ; Šolony, Marek (advisor)
Bachelor thesis deals with the research and the usage possibilities of modern web browsers from the view of 3D graphics and data distribution. In the research were used the new HTML5 standard technologies, such as the WebGL technology for low level graphics together with direct programming of the card shaders or XHR2 technology for asynchronous binary data transfers. The objective of the thesis is to implement a simple distributed 3D graphics renderer by application of these technologies.
Optimization of Task Distribution in Fitcrack System
Ženčák, Tomáš ; Ryšavý, Ondřej (referee) ; Hranický, Radek (advisor)
The goal of this thesis is the optimization of task distribution in the Fitcrack system. The improvement is reached by way of increasing the accuracy of the estimation of the computational power of worker nodes, and the prevention of the creation of extremely small tasks, as well as increasing the efficiency of the transfer of the tasks to the worker nodes. In this thesis, the current state of the Fitcrack system is described, tested, and evaluated. This thesis then describes the weak points of the current implementation, proposes ways of remediating them and describes, tests and evaluates the implementation of those proposals.
Portability of Distributed Computing in Cloud Infrastructures
Duong, Cuong Tuan ; Ondrák, Viktor (referee) ; Kříž, Jiří (advisor)
The master’s thesis focuses on analysis of solution to distributed computing of metage-nomics data in cloud infrastructures. It describes specific META-pipe platform based onclient-server architecture in infrastructure of public academic cloud EGI Federated Cloud,sponsored by european project ELIXIR-EXCELERATE. Thesis is focusing especially onopen-source software like Terraform and Ansible.
Raspberry Pi 4 Cluster Management in Nix
Živčák, Adam ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
The scope of this thesis is to design and implement a system for deploying, managing and monitoring a Raspberry Pi cluster using Nix technologies. The thesis describes the benefits of the functional approach of Nix and the subsystems that are based on it. The thesis also results in a supporting web application, providing an intuitive environment for working with cluster configuration deployments and clearly displaying information about the utilization of individual nodes using dashboards. The final part of the thesis is devoted to testing cluster performance using sample distributed computing jobs.

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