Sökning: "evaluating performance"
Visar resultat 1 - 5 av 1155 uppsatser innehållade orden evaluating performance.
1. Analyzing the Effects of Virtualization on Cloud Platform Performance
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : Denna avhandling utforskar den komplexa interaktionen mellan virtualiseringstekniker och prestanda för molnapplikationer. Genom att utvärdera hypervisor- och containerbaserade metoder skapar vi en teoretisk grund för att förstå rollen för virtualisering i modern molnbaserad miljö. LÄS MER
2. A Comparative Analysis of the Ingestion and Storage Performance of Log Aggregation Solutions: Elastic Stack & SigNoz
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : As infrastructures and software grow in complexity the need to keep track of things becomes important. It is the job of log aggregation solutions to condense log data into a form that is easier to search, visualize, and analyze. LÄS MER
3. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). LÄS MER
4. Predicting Counter-Strike Matches using Machine Learning Models
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER
5. Incremental Re-tokenization in BPE-trained SentencePiece Models
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. LÄS MER