Sökning: "Hybrid Cloud"

Visar resultat 6 - 10 av 46 uppsatser innehållade orden Hybrid Cloud.

  1. 6. A Meta-narrative Review of Recent Advancements in Material Footprint Methodologies

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :John Henry Nylén; [2023]
    Nyckelord :;

    Sammanfattning : The circular economy is a strategy that aims at closing material loops and lower resource consumption. Resource use indicators, like the material footprint, can play an important role in this transition. LÄS MER

  3. 7. Dataintegritet och GDPR : En analys av användandet av lagringslösningar för svenska organisationer

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Diyar Hamad; Jacob Fransson; [2023]
    Nyckelord :Cloud Act; GDPR; compliance; classification; Cloud Act; GDPR; efterlevnad; klassificering;

    Sammanfattning : EU General Data Protection Regulation (GDPR) presenterades år 2016, den nya förordningen för att skydda personuppgifter. Med införandet av GDPR står organisationer inför nya krav när det kommer till dataintegritet och skydd av känslig information. LÄS MER

  4. 8. Performance Evaluation of Kubernetes Autoscaling strategies on GKE clusters

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

    Författare :Johanna Nilsen; [2023]
    Nyckelord :Cloud Computing; Containerisation; Kubernetes; Google Kubernetes Engine; Autoscaling; Horizontal Pod Autoscaling; Vertical Pod Autoscaling; Hybrid Pod Autoscaling; Molntjänster; Containerisering; Kubernetes; Google Kubernetes Engine; Autoskalning; Horisontell Pod-autoskalning; Vertikal Pod-autoskalning; Hybrid Pod-autoskalning;

    Sammanfattning : Cloud computing and containerisation have experienced significant growth in recent years. With cloud providers requiring users to specify resource limits and requests, the need for performance and resource optimisation has emerged in the cloud computing domain. LÄS MER

  5. 9. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Seamus Doyle; Gustav Nilsson; [2022]
    Nyckelord :LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

    Sammanfattning : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. LÄS MER

  7. 10. Using Recommendation Engines to Improve the userexperience in a Cloud Analytic Solution

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Muhammad Ishfaq; [2022]
    Nyckelord :;

    Sammanfattning : Recommender systems have become an integral part of everyday human life because of tworeasons: addressing the issue of information filtering in the world of big data which limits therecommendation engine’s capabilities, and improving user experience by helping the userswhat users want. It is very often that users are unable to find preferred results with a simplequery or are unaware that even if it exits. LÄS MER