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Optimization Models of Risk in Energy Systems
Tetour, Daniel ; Cabalka, Matouš (referee) ; Popela, Pavel (advisor)
The diploma thesis deals with mathematical modeling of the resource allocation problem in an energy system with respect to technical parameters of the used resources. The model includes random input variables affecting the amount of demand and constraints related to associated risks. The thesis addresses control of the operation of various types of boilers and also extends the system with a heat storage tank examining its impact on the behavior of the system and achieved results. The optimization model is based on a multi-period two-stage scenario model of stochastic programming and works with simulated data, which combines real data, statistically determined estimates, and the use of logistic regression. The implementation utilizes GAMS software. When comparing the achieved results with the current state, it was found that the heat storage tank has a positive effect on the function of the system as it allows for extended usage of the cheaper unregulated sources by storing surplus heat, and thus helps to reduce the overall costs of the system.
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Dynamic resource balancing in virtualization clusters
Grafnetter, Michael ; Yaghob, Jakub (advisor) ; Děcký, Martin (referee)
The purpose of this thesis was to analyze the problem of resource load balancing in virtualization clusters. Another aim was to implement a pilot version of resource load balancer for the VMware vSphere Standard-based virtualization cluster. The thesis also inspected available commercial and open source resource load balancers and examined their usability and effectiveness. While designing the custom solution, a modification of the greedy algorithm has been chosen to be used to determine which virtual machines should be migrated and to select their target hosts. Furthermore, experiments have been conducted to determine some parameters for the algorithm. Finally, it was experimentally verified that the implemented solution can be applied to effectively balance virtualization server workloads by live migrating virtual machines running on these hosts.
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Optimization Models of Risk in Energy Systems
Tetour, Daniel ; Cabalka, Matouš (referee) ; Popela, Pavel (advisor)
The diploma thesis deals with mathematical modeling of the resource allocation problem in an energy system with respect to technical parameters of the used resources. The model includes random input variables affecting the amount of demand and constraints related to associated risks. The thesis addresses control of the operation of various types of boilers and also extends the system with a heat storage tank examining its impact on the behavior of the system and achieved results. The optimization model is based on a multi-period two-stage scenario model of stochastic programming and works with simulated data, which combines real data, statistically determined estimates, and the use of logistic regression. The implementation utilizes GAMS software. When comparing the achieved results with the current state, it was found that the heat storage tank has a positive effect on the function of the system as it allows for extended usage of the cheaper unregulated sources by storing surplus heat, and thus helps to reduce the overall costs of the system.
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Impact of zombie firms on the weak post-crisis growth of the Slovak Republic
Bosák, Martin ; Pleticha, Petr (advisor) ; Kočenda, Evžen (referee)
According to the Convergence Analysis of Slovakia from 2017, the current subject of Slovak economic growth and convergence is the slow growth in productivity as relative productivity of Slovakia to the EU average was decreasing in the period from 2014 to 2017. Moreover, it shows that Slovakia is one of the countries with low efficiency of using labour and capital, which means that there is an occurrence of misallocation of resources. A significant role in this downturn according to recent literature might be the occurrence of zombie firms, which are old companies that do not have sufficient profitability to cover their interest expenses for a longer period. This thesis examines zombie firms and their significance in stifling productivity performance. Using a rich firm-level dataset for Slovakia, we research the determinants of zombie companies in Slovakia. Controlling for cyclical effects, this thesis reveals that zombie enterprises over the period from 2003 to 2013 were significantly less productive compared to their healthy competitors. In addition, we find out that occurrence of zombie companies curbs the growth of healthy companies and has a negative impact on the economic output overall. These results are raising several issues for public policy as it needs to mitigate this cause of...
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Impact of zombie firms on the weak post-crisis growth of the Slovak Republic
Bosák, Martin ; Pleticha, Petr (advisor) ; Teplý, Petr (referee)
Productivity growth is diminishing among OECD countries, coupled with increased differences in productivity development among enterprises and misallocation of resources. A recent literature focuses on the role of zombie firms, defined as old firms that have persistent problems meeting their interest payments, to explain these developments. This thesis examines the extent to which zombie firms are stifling labour productivity performance. Using a rich firm-level dataset for Slovakia, we assess the role of zombies on firm dynamics. We confirm the results that prevalence of zombie firms curbs the growth of healthy firms and thus dragging aggregate productivity down. Controlling for cyclical effects, our analysis shows that zombie firms over the period 2003-2013 are significantly less productive within industries than their healthy counterparts. Furthermore, a higher share of industry capital or employment sunk in zombie firms is associated with lower labour productivity, investment and employment growth of the typical non-zombie firm, which results in less productivity-enhancing capital reallocation. These results highlight the role of public policy in addressing prevalence of zombie firms, fostering a more efficient resource allocation and enabling productivity growth.
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Dynamic resource balancing in virtualization clusters
Grafnetter, Michael ; Yaghob, Jakub (advisor) ; Děcký, Martin (referee)
The purpose of this thesis was to analyze the problem of resource load balancing in virtualization clusters. Another aim was to implement a pilot version of resource load balancer for the VMware vSphere Standard-based virtualization cluster. The thesis also inspected available commercial and open source resource load balancers and examined their usability and effectiveness. While designing the custom solution, a modification of the greedy algorithm has been chosen to be used to determine which virtual machines should be migrated and to select their target hosts. Furthermore, experiments have been conducted to determine some parameters for the algorithm. Finally, it was experimentally verified that the implemented solution can be applied to effectively balance virtualization server workloads by live migrating virtual machines running on these hosts.
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Analysis of health care system in the United Kingdom of Great Britain and Northern Ireland
Randová, Jana ; Maaytová, Alena (advisor) ; Láchová, Lenka (referee)
The thesis examines health care system in the United Kingdom of Great Britain and Northern Ireland. In the beginning there is characterised the United Kingdom and its present structure of health care system including assessment of individual functions of system's parts. Then there are analysed sources of finance and their development between 1999 and 2009. The thesis continues with analysis of expenditures where is traced their development between 1999 and 2009 including international comparison. Next there are introduced methods of financial resource allocation into segments of health care system. In the last chapter there are pointed pros and cons of British health care system out and chosen certain components for application in Czech Republic.
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