Sökning: "CPU consumption"

Visar resultat 1 - 5 av 110 uppsatser innehållade orden CPU consumption.

1. 1. Power Profiling: Understanding the Impact of CPU Workloads on Container and Virtual Machine Power Efficiency

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Johan Huusko; [2024]
   Nyckelord :;

   Sammanfattning : Data centers power consumption represent a substantial amount of the global power consumption. While hardware has improved over the years, this study focuses on the software side of optimization, looking at the power consumption differences in containers and virtual machines. LÄS MER

3. 2. Data streaming provenance in advanced metering infrastructures

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Zozk Mohamed; [2023-11-24]
   Nyckelord :Advanced Metering Infrastructure; Ananke; Apache Flink; Göteborg Energi; Provenance; Stream processing; Stream Processing Engine;

   Sammanfattning : Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the electric grid market, which has started modernizing its aging grids into smart grids where Advanced Metering Infrastructures (AMIs) play a vital role. LÄS MER

4. 3. 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

5. 4. Comparative Study of the Inference of an Image Quality Assessment Algorithm : Inference Benchmarking of an Image Quality Assessment Algorithm hosted on Cloud Architectures

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jesper Petersson; [2023]
   Nyckelord :Machine learning; Cloud Computing; Benchmark; Image Quality Assessment; Maskininlärning; Molntjänster; Jämförelse; Bildkvalitetsbedömning;

   Sammanfattning : an instance has become exceedingly more time and resource consuming. To solve this issue, cloud computing is being used to train and serve the models. However, there’s a gap in research where these cloud computing platforms have been evaluated for these tasks. LÄS MER

7. 5. Low-power Implementation of Neural Network Extension for RISC-V CPU

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Dario Lo Presti Costantino; [2023]
   Nyckelord :Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER