Sökning: "”Multi-Tenant”"

Visar resultat 6 - 10 av 26 uppsatser innehållade ordet ”Multi-Tenant”.

  1. 6. Project based multi-tenant managed RStudio on Kubernetes for Hopsworks

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

    Författare :Gibson Chikafa; [2021]
    Nyckelord :Multi-tenancy; Cloud computing; Performance isolation; Security; Scaling; Docker; Kubernetes; Azure; GCP; Multitenans; Molntjänster; Prestandaisolering; Säkerhet; Skalning; Docker; Kubernetes; Azure; GCP;

    Sammanfattning : In order to fully benefit from cloud computing, services are designed following the “multi-tenant” architectural model which is aimed at maximizing resource sharing among users. However, multi-tenancy introduces challenges of security, performance isolation, scaling and customization. LÄS MER

  3. 7. Improving building heating efficiency using machine learning : An experimental study

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Författare :Niklas Lindberg; Carl Magnusson; [2021]
    Nyckelord :Building Energy Consumption; Building energy efficiency; Building specific heating Curve; Machine learning; Artificial Neural Network;

    Sammanfattning : While global efforts are made to reduce the emission of greenhouse gases and move towards a more sustainable society, the global energy demand is continuing to increase. Building energy consumption represents 20-40% of the world's total energy use, and Heating, Ventilation, and Air Conditioning (HVAC) answer for around 50% of this amount. LÄS MER

  4. 8. Comparing a gang-like scheduler with the default Kubernetes scheduler in a multi-tenant serverless distributed deep learning training environment

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Frans-Lukas Lövenvald; [2021]
    Nyckelord :Deep learning; serverless; scheduling;

    Sammanfattning : Systems for running distributed deep learning training on the cloud have recently been developed. An important component of a distributed deep learning job handler is its resource allocation scheduler. This scheduler allocates computing resources to parts of a distributed training architecture. LÄS MER

  5. 9. The Final 50 Feet Problem in Gothenburg - A MAMCA study on the situation regarding deliveries to multi-tenant multistory buildings in Gothenburg

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Daniel Lagerlöf; Nikita Zaiko; [2020-06-17]
    Nyckelord :Final 50 Feet; Large Traffic Generators; City Logistics; MAMCA; Freight Quality Partnerships; Transport Plan; Vertical Movement; Horizontal Movement; Urban Freight; Distribution; Collection; Tenants; Receivers;

    Sammanfattning : Purpose: The purpose is to study the situation regarding the Final 50 Feet in Gothenburg and if any of the solutions found in literature can be implemented. As there are several actors connected to deliveries with diverging goals a Multi-Actor, Multi-Criteria Analysis (MAMCA) has been used to include the views of the different stakeholders to increase the feasibility and ensure that the results are legitimate and feasible to implement. LÄS MER

  7. 10. Project-based Multi-tenant Container Registry For Hopsworks

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

    Författare :Pradyumna Krishna Kashyap; [2020]
    Nyckelord :Cloud; Big Data; Hopsworks; Data Science; On-premise; Multitenancy; Container; Registry; Kubernetes.;

    Sammanfattning : There has been a substantial growth in the usage of data in the past decade, cloud technologies and big data platforms have gained popularity as they help in processing such data on a large scale. Hopsworks is such a managed plat- form for scale out data science. LÄS MER