Essays about: "Autoskalning"
Found 5 essays containing the word Autoskalning.
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1. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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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)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
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3. Performance Evaluation of Kubernetes Autoscaling strategies on GKE clusters
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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4. 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)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
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5. Deep Reinforcement Learning for Adaptive Resource Allocation in Virtualized Network Functions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Network Function Virtualization (NFV) is the transition from proprietary hardware functions to virtualized counterparts of them within the telecommunication industry. These virtualized counterparts are known as Virtualized Network Functions (VNFs) and are the main building blocks of NFV. READ MORE
