Sökning: "Dynamic resource allocation"
Visar resultat 16 - 20 av 72 avhandlingar innehållade orden Dynamic resource allocation.
16. Communication-Efficient Resource Allocation for Wireless Federated Learning Systems
Sammanfattning : The training of machine learning (ML) models usually requires a massive amount of data. Nowadays, the ever-increasing number of connected user devices has benefited the development of ML algorithms by providing large sets of data that can be utilized for model training. LÄS MER
17. CPU Resource Management and Noise Filtering for PID Control
Sammanfattning : The first part of the thesis deals with adaptive CPU resource management for multicore platforms. The work was done as a part of the resource manager component of the adaptive resource management framework implemented in the European ACTORS project. The framework dynamically allocates CPU resources for the applications. LÄS MER
18. Marginal Productivity Indices and Linear Programming Relaxations for Dynamic Resource Allocation in Queueing Systems
Sammanfattning : Many problems concerning resource management in modern communication systems can be simplified to queueing models under Markovian assumptions. The computation of the optimal policy is however often hindered by the curse of dimensionality especially for models that support multiple traffic or job classes. LÄS MER
19. Land Reform, Trust and Natural Resource Management in Africa
Sammanfattning : Four self-contained papers constitute this thesis. Paper I investigates what impact Zimbabwe’s Fast Track Land Reform Programme, launched in 2000 as part of an ongoing land reform and resettlement programme aimed at addressing a racially skewed land distribution, has had on its beneficiaries’ perceptions of land tenure security and subsequent decisions to invest in soil conservation. LÄS MER
20. Unchaining Microservice Chains : Machine Learning Driven Optimization in Cloud Native Systems
Sammanfattning : As the cloud native landscape flourishes, microservices emerge as a central pillar for contemporary software development, enabling agility, resilience, and scalability in modern computing environments. While these modular services promise opportunities, particularly in the transformative ecosystem of 5G and beyond, they also introduce a myriad of complexities. LÄS MER