Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Autoscaling"”.
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Cloud-bursting and autoscaling for Python-native scientific workflows
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Stateless node rebalancing and stateful building blocks for limitless autoscaling
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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CATCloud: closing semantic gaps of CPU interfaces for precise autoscaling in the cloud
… memory and compute overheads, over existing autoscaling solutions
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CATCloud: closing semantic gaps of CPU interfaces for precise autoscaling in the cloud
… memory and compute overheads, over existing autoscaling solutions
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Autoscaling through Self-Adaptation Approach in Cloud Infrastructure. A Hybrid Elasticity Management Framework Based Upon MAPE (Monitoring-Analysis-Planning-Execution) Loop, to Ensure Desired Service Level Objectives (SLOs)
… hybrid framework enables proactive and reactive autoscaling approaches to be implemented simultaneously within same system. Proactive approach is incorporated as a core decision making logic on the basis of forecast data, while reactive approach being based upon actual data would act as a damage …
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Towards SLO-aware Resource Scheduling for Serverless Inference Workloads
… infrastructure management. However, existing autoscaling strategies employed by popular FaaS platforms often overlook critical factors such as response time and tail latency. Additionally, Python's Global Interpreter Lock (GIL) poses challenges for parallel computing in high-request traffic …
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Predicting Performance Run-time Metrics in Fog Manufacturing using Multi-task Learning
… task offloading, scheduling, and hardware autoscaling strategies to finish the computation tasks on time without compromising on the quality of the computation service. A prerequisite for adapting such optimal strategies is to accurately predict the run-time metrics (e.g., Time-latency) of …
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Optimisation of Raman spectroscopy for the analysis of Basidiomycota : spores, latex and mycelium
… protocol (interference elimination, autoscaling, PCA and LDA) the genus was correctly assigned to a spore print in 90% of the cases, whereas the species could not be deduced from the Raman spectra. It is shown that Raman spectroscopy is a good additional method for the analysis of …
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Towards efficient and reliable infrastructure for machine learning
… to QLM, Chiron introduces hierarchical autoscaling that employs multi-level backpressure mechanisms that distinguishes between interactive and batch requests. The framework dynamically adjusts batch sizes at the local level using reactive backpressure and makes global scaling decisions …
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Machine learning systems in constrained environments
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01