Essays about: "Vertical Pod Autoscaler"

Found 5 essays containing the words Vertical Pod Autoscaler.

1. 1. Comparing various methods for improving resource allocation on a single node cluster in Kubernetes

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Abaied Sopi; Plotoaga Andrei; [2023]
   Keywords : Kubernetes; latency-critical; resource allocation; CRI-RM; Vertical Pod Autoscaler;

   Abstract : When dealing with latency-critical applications in Kubernetes, a common strategy is to over-allocate resources to ensure the application can meet its latency guarantees during traffic surges. However, this practice often leads to resource underutilizationas the application will not fully utilize its reserved resources. READ MORE

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

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

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

   Abstract : 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. 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