Sökning: "horizontal pod autoscaler"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden horizontal pod autoscaler.

  1. 1. Dimensioning Microservices on Kubernetes Platforms Using Machine Learning Techniques

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Adam Rubak; [2023]
    Nyckelord :Kubernetes; dimensioning; scaling; resource management; horizontal pod autoscaler; machine learning; Kubernetes; dimensionering; skalning; resurshantering; horisontell pod autoscaler; maskininlärning;

    Sammanfattning : In recent years, cloud computing and containerization have become increasingly popular for various applications. However, optimizing resource usage and minimizing costs while providing reliable and efficient service to users can be a challenge. One such challenge is scaling containers according to the current system load. LÄS MER

  3. 2. 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

  4. 3. Predicting resource usage on a Kubernetes platform using Machine Learning Methods

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Arvid Gördén; [2023]
    Nyckelord :Master thesis; Kubernetes; scaling; resource management; horizontal pod autoscaler; vertical scaling; machine learning; Masterarbete; Kubernetes; scaling; resurshantering; horisontell pod autoscaler; vertikal scaling; maskininlärning;

    Sammanfattning : Cloud computing and containerization has been on the rise in recent years and have become important areas of research and development in the field of computer science. One of the challenges in distributed and cloud computing is to predict the resource utilization of the nodes that run the applications and services. LÄS MER

  5. 4. 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

  7. 5. A performance study for autoscaling big data analytics containerized applications : Scalability of Apache Spark on Kubernetes

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Vinay Kumar Vennu; Sai Ram Yepuru; [2022]
    Nyckelord :Containers; Container Orchestration; Big data analytics; Autoscaling; Resource Management;

    Sammanfattning : Container technologies are rapidly changing how distributed applications are executed and managed on cloud computing resources. As containers can be deployed on a large scale, there is a tremendous need for Container Orchestration tools like Kubernetes that are highly automatic in deployment, scaling, and management. LÄS MER