Essays about: "CPU consumption"
Showing result 1 - 5 of 107 essays containing the words CPU consumption.
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1. Power Profiling: Understanding the Impact of CPU Workloads on Container and Virtual Machine Power Efficiency
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : 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. READ MORE
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2. Data streaming provenance in advanced metering infrastructures
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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. READ MORE
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3. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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. READ MORE
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4. Comparative Study of the Inference of an Image Quality Assessment Algorithm : Inference Benchmarking of an Image Quality Assessment Algorithm hosted on Cloud Architectures
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Low-power Implementation of Neural Network Extension for RISC-V CPU
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE