Essays about: "Auto-scaling"
Showing result 6 - 10 of 20 essays containing the word Auto-scaling.
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6. 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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7. 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
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8. Low power memory controller subsystem IP exploration using RTL power flow : An End-to-end power analysis and reduction Methodology
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With FinFET based Application Specific Integrated Circuit (ASIC) designs delivering on the promises of scalability, performance, and power, the road ahead is bumpy with technical challenges in building efficient ASICs. Designers can no longer rely on the ‘auto-scaling’ power reduction that follows technology node scaling, in these times when 7nm presents itself as a ‘long-lived’ node. READ MORE
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9. Enhanced Experience Generation for Reinforcement Learning Pre-training in Telecommunication Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, the rise of Reinforcement Learning (RL) in robotics and games has attracted growing attention from different industries, such as telecommunications. One novel attempt to apply reinforcement learning within telecommunications is to train an RL agent for auto-scaling Virtualized Network Functions (VNFs) in a core network environment. READ MORE
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10. Evaluation and comparison of a RabbitMQ broker solution on Amazon Web Services and Microsoft Azure
University essay from Linköpings universitet/Programvara och systemAbstract : In this thesis, a scalable, highly available and reactive RabbitMQ cluster is implemented on Amazon Web Services (AWS) and Microsoft Azure. An alternative solution was created on AWS using the CloudFormation service. These solutions are performance tested using the RabbitMQ PerfTest tool by simulating high loads with varied parameters. READ MORE
