Essays about: "proactive resource scaling"
Showing result 1 - 5 of 6 essays containing the words proactive resource scaling.
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1. Dimensioning Microservices on Kubernetes Platforms Using Machine Learning Techniques
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : 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. READ MORE
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2. 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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3. Analysing User Viewing Behaviour in Video Streaming Services
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The user experience offered by a video streaming service plays a fundamental role in customer satisfaction. This experience can be degraded by poor playback quality and buffering issues. These problems can be caused by a user demand that is higher than the video streaming service capacity. READ MORE
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4. Proactive auto-scaling for edge computing systems with Kubernetes
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency control, and performance. However,existing autoscaling tools for edge computing applications do not utilize heterogeneous resources of edge systems efficiently, leavingscope for performance improvement. READ MORE
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5. Hybrid Auto-Scaling for an Asynchronous Computationally Intensive Application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cloud computing has developed rapidly in recent years. It enables users to access computing resources on an on-demand basis, acquiring resources when an application requires them and releasing them when they are no longer needed. READ MORE