Sökning: "CPU usage"

Visar resultat 1 - 5 av 176 uppsatser innehållade orden CPU usage.

1. 1. Analyzing the Effects of Virtualization on Cloud Platform Performance

   Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Författare :Gaylord Kaya; [2024]
   Nyckelord :hypervisor; container; virtualization; cloud computing; hypervisor; container; virtualization; cloud computing;

   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

3. 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 teknik

   Författare :Robert Duras; [2024]
   Nyckelord :Elastic Stack; ELK; SigNoz; Beats; Logstash; Elasticsearch; Kibana; OpenTelemetry; ClickHouse; Log; Logging; Log Data; Log Aggregation; Performance; Ingestion; Storage;

   Sammanfattning : 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

4. 3. A comparative performance analysis of Fast Fourier Transformation and Gerstner waves

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Morgan Westerberg; Oliver Olguin Jönsson; [2023]
   Nyckelord :Water simulation; Procedural methods; Ocean waves; Fast Fourier Transformation; Gerstner waves;

   Sammanfattning : Background:  As time moves on hardware is able to tackle heavier and more complex computations in real-time systems. This means that more realistic and stylistic environments can be computed. One of these environments is the ocean. LÄS MER

5. 4. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Sai Nikhil Boyapati; [2023]
   Nyckelord :Auto-Scaling; Auto-Scaling Recommendations; Cloud Environment; K-Nearest Neighbors; Machine Learning; Recommendation Systems; Random Forests; Support Vector Machines;

   Sammanfattning : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. LÄS MER

7. 5. Detecting time inefficiencies in service-oriented systems using distributed tracing

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Josefin Ekenstedt; [2023]
   Nyckelord :;

   Sammanfattning : Stragglers, which are tasks that operate significantly slower than other tasks in a system, are a big issue in distributed systems. A system can contain relatively few tasks that qualify as stragglers but that have a great impact on the overall system performance. For example, a study of a large data center showed that as few as 3. LÄS MER