Essays about: "molnberäkning"

Found 5 essays containing the word molnberäkning.

  1. 1. Intelligent autoscaling in Kubernetes : the impact of container performance indicators in model-free DRL methods

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tommaso Praturlon; [2023]
    Keywords : Cloud computing; container autoscaling; resource optimisation; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh; Cloud computing; container autoscaling; Optimering av resurser; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh;

    Abstract : A key challenge in the field of cloud computing is to automatically scale software containers in a way that accurately matches the demand for the services they run. To manage such components, container orchestrator tools such as Kubernetes are employed, and in the past few years, researchers have attempted to optimise its autoscaling mechanism with different approaches. READ MORE

  2. 2. Evaluation of MLOps Tools for Kubernetes : A Rudimentary Comparison Between Open Source Kubeflow, Pachyderm and Polyaxon

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Anders Köhler; [2022]
    Keywords : MLOps; machine learning; Kubernetes; cloud computing; cloud native; Kubernetes native; MLOps; maskininlärning; Kubernetes; molnberäkning; cloud native; Kubernetes native;

    Abstract : MLOps and Kubernetes are two major components of the modern-day information technology landscape, and their impact on the field is likely to grow even stronger in the near future. As a multitude of tools have been developed for the purpose of facilitating effortless creation of cloud native MLOps solutions, many of them have been designed, to varying degrees, to integrate with the Kubernetes system. READ MORE

  3. 3. The Optimal Hardware Architecture for High Precision 3D Localization on the Edge. : A Study of Robot Guidance for Automated Bolt Tightening.

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Jacob Edström; Pontus Mjöberg; [2019]
    Keywords : Computer Vision; Robot Guidance; Automated Assembly; Edge Computing; Cloud Computing; Cluster Computing; Deep Learning; Industrial Robots; Flexible Automation.; Datorseende; Robotstyrning; Automatiserad Montering; Edge-beräkning; Molnberäkning; Klusterberäkning; Djupinlärning; Industrirobotar; Flexibel Automatisering.;

    Abstract : The industry is moving towards a higher degree of automation and connectivity, where previously manual operations are being adapted for interconnected industrial robots. This thesis focuses specifically on the automation of tightening applications with pre-tightened bolts and collaborative robots. READ MORE

  4. 4. Multi-Tenancy Security in Cloud Computing : Edge Computing and Distributed Cloud

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ali Shokrollahi Yancheshmeh; [2019]
    Keywords : Cloud computing; OpenStack; Multi-Tenancy; Security; Multi-Tenancy Isolation.; Cloud computing; OpenStack; Multi-Tenancy; Security; Multi-Tenancy Isolation.;

    Abstract : With the advent of technology cloud computing has become the next generation of network computing where cloud computing can deliver both software and hardware as on-demand services over the Internet. Cloud computing has enabled small organizations to build web and mobile apps for millions of users by utilizing the concept of “pay-as-you-go” for applications, computing, network and storage resources as on-demand services. READ MORE

  5. 5. Elastic channel distribution in the cloud for live video streaming

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sebastian Törnqvist; [2018]
    Keywords : Video streaming; elasticity; cloud computing; Videoströmmning; elasticitet; molnberäkning;

    Abstract : Streaming video has strong availability requirements, while for livestreamed video low latency becomes an additional significant factor. For large-scale video streaming the streaming service must be able to scale in and out in order to conform to the interchanging demands of users. READ MORE