Sökning: "CPU load"
Visar resultat 1 - 5 av 117 uppsatser innehållade orden CPU load.
1. Power Profiling: Understanding the Impact of CPU Workloads on Container and Virtual Machine Power Efficiency
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : 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
2. Comparative Analysis of the Performance of ARCore and WebXR APIs for AR Applications
M1-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Augmented Reality has become a popular technology in recent years. Two of the most prominent AR APIs are ARCore, developed by Google, and We- bXR, an open standard for AR and Virtual Reality (VR) experiences on the web. LÄS MER
3. Comparative Analysis of Load Balancing in Cloud Platforms for an Online Bookstore Web Application using Apache Benchmark
Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background :Cloud computing has transformed the landscape of application deploy-ment, offering on-demand access to compute resources, databases, and services viathe internet. This thesis explores the development of an innovative online book-storeweb application, harnessing the power of cloud infrastructure across AWS,Azure, andGCP. LÄS MER
4. Finding the Sweet Spot: Optimizing Kubernetes for Scalability and Resilience : A Comprehensive Study on Improving Resource Utilization and Performance in Containerized Environments.
Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskapSammanfattning : Modern technology is rapidly and efficiently expanding, and by looking at the largest companies by market cap, one will find enterprises like Apple, Microsoft, Alphabet, and Meta. Given the complexity of modern software architecture, there arises a necessity for a software architecture that is both scalable and adaptable. LÄS MER
5. Dimensioning Microservices on Kubernetes Platforms Using Machine Learning Techniques
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In recent years, cloud computing and containerization have become increasingly popular for various applications. However, optimizing resource usage and minimizing costs while providing reliable and efficient service to users can be a challenge. One such challenge is scaling containers according to the current system load. LÄS MER