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Visar resultat 1 - 5 av 75 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices

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

    Författare :Herman Blenneros; [2023]
    Nyckelord :Visual localization and mapping; Runtime-control; Resource-constrained devices; Bildbaserad lokalisering och kartläggning; Realtidsreglering; Resursbegränsade enheter;

    Sammanfattning : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. LÄS MER

  3. 2. Cloud Computing Pricing and Deployment Efforts : Navigating Cloud Computing Pricing and Deployment Efforts: Exploring the Public-Private Landscape

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

    Författare :Casper Kristiansson; Fredrik Lundström; [2023]
    Nyckelord :Cloud computing; Private cloud; Public cloud; Cloud computing services; Cost-effectiveness; Implementation effort; Google GCP; Microsoft Azure; Amazon AWS; Pricing models; Cloud adoption; Cloud cost management; Cloud migration; Instance computing; Serverless computing; Data storage; Molntjänster; Privat moln; Offentligt moln; Kostnadsjämförelse; Kostnadseffektivitet; Google GCP; Microsoft Azure; Amazon AWS; Molninförande; Molnkostnadshantering; Molnmigration; Instance computing; Serverless computing; Dataförvaring;

    Sammanfattning : The expanding adoption of cloud computing services by businesses has transformed IT infrastructure and data management in the computing space. Cloud computing offers advantages such as availability, scalability, and cost-effectiveness, making it a favored choice for businesses of all sizes. LÄS MER

  4. 3. 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

  5. 4. DevOps: Assessing the Factors Influencing the Adoption of Infrastructure as Code, and the Selection of Infrastructure as Code Tools : A Case Study with Atlas Copco

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

    Författare :David Ljunggren; [2023]
    Nyckelord :DevOps; Infrastructure as Code; Automation; DevOps; Infrastruktur som kod; Automation;

    Sammanfattning : This research initiative, which takes the shape of an interpretive qualitative case study, intends to investigate the key considerations for organizations that are to adopt IaC and select an IaC tool. Interviews with operations specialists with varying experience with Infrastructure as Code were conducted for data collection, which was then followed by thematic data analysis. LÄS MER

  7. 5. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach

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

    Författare :Brando Chiminelli; [2023]
    Nyckelord :Cloud computing; Microservices; Kubernetes; Container Orchestration; Auto-Scaling; Horizontal Pod Autoscaler HPA ; WorkloadPrediction; Time-Series Forecasting; Molntjänster; Mikrotjänster; Kubernetes; Containerorkestrering; Automatisk Skalning; Horizontal Pod Autoscaler HPA ; Förutsägelse avArbetsbelastning; Prognoser för Tidsserier;

    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