System virtualization technology is widely used in computing nowadays. In embedded domain, it is used as a solution to resource sharing among independent applications. One of the areas is to apply virtualization technique to real-time embedded systems with timing constraints. Multi-level adaptive hierarchical scheduling (AdHierSched) framework is a virtualized real-time framework, which runs in the Linux operating system. Šis virtualized framework has ability to adapt the CPU partition sizes according to their need through monitoring their demand during run-time, which yields more appropriate processor assignment. However, the performance of the virtualized framework is still unknown when the budget borrowing mechanism is enabled. To this end, in this thesis, we explore a new direction for performing the adaptation of CPU partition. We design and implement a budget borrowing mechanism for dynamic adaptation of resource parameters in AdHierSched framework. Extensive simulations are performed in this thesis, which are used to study and compare di‚erent adaptation mechanisms with our approach. From the results of experiments, we conclude that when the framework works only with budget borrowing controller, the results are not as good as only running a budget controller in the AdHierSched framework. However, while running both of the controllers at the same time, the experiments results are good enough. We also analyze the overhead of the framework at the end of the evaluation. Finally, we conclude the thesis by presenting the possible future work.

The Information and Communication Technology (ICT) industry and network researchers use traffic generator tools to a large extent to test their systems. The industry uses reliable and rigid hardware-based platform tools for high-performance network testing. The research community commonly uses software-based tools in, for example, experiments because of economic and flexibility aspects. As a result, it is possible to run these tools on different systems and hardware. In this thesis, we examine the software traffic generators Iperf, Mausezahn, Ostinato in a closed loop physical and virtual environment to evaluate the applicability of the tools and find sources of inaccuracy for a given traffic profile. For each network tool, we measure the throughput from 64- to 4096-byte in packet sizes. Also, we encapsulate each tool with container technology using Docker to reach a more reproducible and portable research. Our results show that the CPU primarily limits the throughput for small packet sizes, and saturates the 1000 Mbps link for larger packet sizes. Finally, we suggest using these tools for simpler and automated network tests. / IT-branschen och nätverksforskare använder sig av trafikgeneratorer till stor del för att testa sina system. Industrin använder sig av stabila och pålitliga hårdvaruplattformar för högpresterande nätverkstester. Forskare brukar använda mjukvarubaserade verktyg i till exempel experiment på grund av ekonomiska och flexibilitet skäl. Det är därför möjligt att använda dessa verktyg på olika system och hårdvaror. I denna avhandling undersöker vi mjukvarutrafikgeneratorerna Iperf, Mausezahn, Ostinato i en isolerad fysisk och virtuell miljö, det vill säga för att utvärdera användbarheten av verktygen och hitta felkällor för en given trafikprofil. För varje nätverksverktyg mäter vi genomströmningen från 64 till 4096 byte i paketstorlekar. Dessutom paketerar vi varje verktyg med molnteknologin Docker för att nå ett mer reproducerbart och portabelt arbete. Våra resultat visar att processorn begränsar genomströmningen för små paketstorlekar och saturerar 1000 Mbps-länken för större paketstorlekar. Slutligen föreslår vi att man kan använda dessa verktyg för enklare och automatiserade nätverkstester.

This work reports on virtualization and cloud computing technologies. It evaluates their strengths and weaknesses as well as describes the examples of its deployment. The document serves as a concise and comprehensive guide, describing the necessary theory along with the practical use. It is all demonstrated on a real project. The practical part refers to the data environment of the Fire Rescue Service of South Bohemia Region and represents the usage of studied technologies. The analysis also includes project´s financial and technical aspects.