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Workload-based congestion prediction
2015 Integrated Communication, Navigation and Surveillance Conference (ICNS), 2015The Federal Aviation Administration (FAA) currently uses the Traffic Flow Management System (TFMS) to perform congestion prediction, a key traffic management function that is needed to ensure the safe and efficient flow of traffic through the National Airspace System (NAS). TFMS uses expected future traffic volume to predict congestion.
Francis N. Sutton, Kenneth S. Lindsay
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Workload Prediction of Serverless Computing
2021 5th International Conference on Deep Learning Technologies (ICDLT), 2021Jinyue Wei, Ming Gao 0008
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Task Analysis/Workload (TAWL): A Methodology for Predicting Operator Workload
Proceedings of the Human Factors Society Annual Meeting, 1990The Task Analysis/Workload (TAWL) methodology was developed to predict operator workload using the information from a task analysis of the system. In addition, the TAWL Operator Simulation System (TOSS) was developed to perform all the data base management and model execution functions needed to use the methodology.
David B. Hamilton, Carl R. Bierbaum
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Crew Workload Prediction Study.
1981Abstract : This report documents a study which applied an analytic method known as the Controls and Display Evaluation Model, or CODEM, to the flight deck avionics improvements identified in the Flight Control Division's (AFWAL/FIGR) Tanker Avionics and Aircrew Complement Evaluation (TAACE) program.
null Larry C. +4 more
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Multivariate Workload Aware Correlation Model for Container Workload Prediction
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023Man Zhang, Chunyan An, Conghao Yang
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Mental Workload: Assessment, Prediction and Consequences
2017I describe below the manner in which workload measurement can be used to validate models that predict workload. These models in turn can be employed to predict the decisions that are made, which select a course of action that is of lower effort or workload, but may also be of lower expected value (or higher expected cost).
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Workload time series prediction in storage systems: a deep learning based approach
Cluster Computing, 2021Li Ruan, Shaoning Li, Shuibing He
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Technical Study of Deep Learning in Cloud Computing for Accurate Workload Prediction
Electronics (Switzerland), 2023Abdullah Al-Malaise +2 more
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Workload Prediction for Edge Computing
Proceedings of the 25th International Conference on Distributed Computing and NetworkingKavish Shah +3 more
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