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Visar resultat 1 - 5 av 46 uppsatser som matchar ovanstående sökkriterier.
1. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. LÄS MER
2. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. LÄS MER
3. Application development of 3D LiDAR sensor for display computers
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : A highly accurate sensor for measuring distances, used for creating high-resolution 3D maps of the environment, utilize “Light Detection And Ranging” (LiDAR) technology. This degree project aims to investigate the implementation of 3D LiDAR sensors into off-highway vehicle display computers, called CCpilots. LÄS MER
4. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis focuses on addressing the challenges of resource management in cloud environments, specifically in the context of running resource-optimized applications on Kubernetes. The scale and growth of cloud services, coupled with the dynamic nature of workloads, make it difficult to efficiently manage resources and control costs. LÄS MER
5. Development of an integrated hybrid energy system model for cloud deployment
Master-uppsats, Lunds universitet/Institutionen för energivetenskaperSammanfattning : This research paper investigates the technical feasibility, system requirements, performance characteristics, and potential for optimization of an industrial heat pump in a district heating system, using the Modelon Impact platform. The study aims to provide a comprehensive understanding of the benefits and limitations of using cloud-based simulation platforms for the design and analysis of industrial energy systems. LÄS MER