Sökning: "Auto-scaling"

Visar resultat 1 - 5 av 20 uppsatser innehållade ordet Auto-scaling.

1. 1. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Sai Nikhil Boyapati; [2023]
   Nyckelord :Auto-Scaling; Auto-Scaling Recommendations; Cloud Environment; K-Nearest Neighbors; Machine Learning; Recommendation Systems; Random Forests; Support Vector Machines;

   Sammanfattning : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. LÄS MER

3. 2. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
   Nyckelord :Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

   Sammanfattning : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. LÄS MER

4. 3. 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

5. 4. Application failure predictions from neural networks analyzing telemetry data

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Max Rylander; Filip Hultgren; [2021]
   Nyckelord :;

   Sammanfattning : ith the revolution of the internet, new applications have emerged in our daily life. People are dependent on services for transportation, bank matters, and communication. Services availability is crucial for their survival and competition against other service providers. Achieving good availability is a challenging task. LÄS MER

7. 5. Optimized Autoscaling of Cloud Native Applications

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

   Författare :Niklas Åsberg; [2021]
   Nyckelord :Kubernetes; Datacollection; Datavisualization; Autoscaling; Cloudnativeapplication; containerization;

   Sammanfattning : Software containers are changing the way distributed applications are executedand managed on cloud computing resources. Autoscaling allows containerizedapplications and services to run resiliently with high availability without the demandof user intervention. LÄS MER