Essays about: "container autoscaling"

Showing result 1 - 5 of 6 essays containing the words container autoscaling.

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

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

    Author : Brando Chiminelli; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. 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

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

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

    Author : Johanna Nilsen; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

  6. 5. Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory

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

    Author : Thomas Wang; [2021]
    Keywords : Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resource Provisioning; Autoscaling; Predictive scaling; CPU Usage; Seasonality; Exponential Smoothing; Long short-term memory; Time-series Analysis; Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resursförsörjning; Autoskalning; prediktiv skalning; CPU Användning; Säsongsmässighet; Exponentiell utjämning; långt korttidsminne; tidsserieanalys;

    Abstract : Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. READ MORE