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 9 of 9 for “"throughput prediction"”.
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I/O Throughput Prediction for HPC Applications Using Darshan Logs
… by Darshan monitoring tool to predict I/O throughput of HPC applications, which then can be compared against the observed I/O throughput to identify performance issues. By processing Darshan logs of BlueWaters supercomputer, I trained several ML models including Decision Tree, Random …
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Throughput Measurements and Empirical Prediction Models for IEEE 802.11b Wireless LAN (WLAN) Installations
… by the lack of an accurate, performance prediction model that is intuitive for use by non-wireless professionals. To provide a solution to this problem, this thesis presents a method of predicting the expected wireless LAN throughput using a site-specific model of an indoor environment. …
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Revamping Manufacturing Systems: Utilization of Data Driven Models, Interpretable Machine Learning, and Data-Product Stakeholder Flow Analysis
… the most important features to improve the throughput prediction. The study showed that Machine E utilization has a significant influence on the throughput prediction. Finally, the third study involved conducting a qualitative analysis of stakeholder flow in developing data products for …
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Neural adaptive video streaming with pensieve
… suffer from two practical challenges: (1) throughput prediction is difficult and inaccurate predictions can lead to degraded performance; (2) existing algorithms use fixed heuristics which have been fine-tuned according to strict assumptions about deployment environments - such tuning …
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Computational Identification and Functional Characterisation of Candidate DNA Binding Effectors in <i>Phytophthora</i>
… DNA-binding proteins can provide a high-throughput means of candidate selection. However, current prediction algorithms are limited in plants and pathogens. <br/>Here we have created a plant specific prediction model, which we have employed to predict DNA-binding proteins in the tomato …
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The development of novel services for battery storage in domestic applications and communal mini-smart grids
… of the battery, a Decision Tree Energy Throughput prediction model was designed and validated using the Python Software. Moreover, a Solar PV/Battery system sizing case study was carried out with energy consumption data collected in collaboration with the industrial partner to the …
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Data-aware workflow scheduling in heterogeneous distributed systems
… as possible. However, it is quite often that the throughput is much lower than expected while using single TCP stream to transfer data when the bandwidth of the network is not fully utilized. Multiple TCP streams will benefit the throughput. However, the throughput does not increase monotonically …
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Automated analysis and validation of open chemical data
… crystallography. A workflow for the high-throughput calculation of solid-state geometry using a semi-empirical method is described. A wide-range of organic and inorganic systems provided by CrystalEye are used to test both the data and the method. Several errors in the method are …
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Towards Efficient Network Management and Optimisation for Next-Generation O-RAN
… improve network performance, user equipment (UE) throughput, and inter-cell interference management. By introducing a novel xApp deployed in the \ac{RIC}, the study demonstrates a groundbreaking approach to dynamic traffic steering that leverages multiple advanced algorithmic techniques. The …