Sökning: "horizontal scaling"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden horizontal scaling.
1. Dimensioning Microservices on Kubernetes Platforms Using Machine Learning Techniques
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)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
2. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
3. Experimental Study of Flow Fields in Moving Bed Biofilm Reactors
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : With the rise in global energy prices, as well as energy consumption being the largest source of greenhouse gas emissions, biofilm-based systems utilized for wastewater treatment, such as moving bed biofilm reactors (MBBRs), have grown in popularity for their lower energy consumption compared to conventional activated sludge processes. However, this technology requires large amounts of energy to constantly distribute and suspend its biofilm carrier within the reactor by either aerators or mechanical mixers. LÄS MER
4. Predicting resource usage on a Kubernetes platform using Machine Learning Methods
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)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. A performance study for autoscaling big data analytics containerized applications : Scalability of Apache Spark on Kubernetes
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : 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