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Machine learning-driven adaptive parameter selection for homomorphic encryption in edge computing. [PDF]
Sci RepBouabidi HE +3 more
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A hybrid RL-GA-LSTM-AE framework for energy-aware and SLA-driven task scheduling in cloud computing environments. [PDF]
Sci RepNarsimhulu B, Kumar TS.
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A Sensor-Aware Physics-Based Framework for Continuous Smartphone Battery State and Lifetime Prediction. [PDF]
Sensors (Basel)Wu Z, Dong W, Yang Z, Diao M.
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COIN: A Container Workload Prediction Model Focusing on Common and Individual Changes in Workloads
IEEE Transactions on Parallel and Distributed Systems, 2022Changjun Jiang +2 more
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Energy Prediction for MapReduce Workloads
2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, 2011Energy efficiency of data centers has attracted wide research attention with growing concern for power consumption and heat dissipation. Map Reduce as an efficient programming model for data-intensive computing is increasingly popular among industrial companies and academic organizations.
Wenjun Li 0002 +3 more
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Analytical Modeling and Prediction of Cloud Workload
2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021Cloud workload prediction is a very critical task for elastic scaling, because cloud manager decides what configuration sequence is to be considered for resource provisioning. Matching the demand guarantees Service Level Agreement condition (SLA) and Quality of Service (QoS) performance.
Tariq Daradkeh +3 more
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SAE Technical Paper Series, 1987
<div class="htmlview paragraph">The prediction of pilot workload early in the design process is of primary importance. To develop a predictive model of pilot workload it is necessary to determine what information a pilot uses in rating the workload of a mission segment or tasks.
David D. Pepitone +2 more
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<div class="htmlview paragraph">The prediction of pilot workload early in the design process is of primary importance. To develop a predictive model of pilot workload it is necessary to determine what information a pilot uses in rating the workload of a mission segment or tasks.
David D. Pepitone +2 more
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Prediction of Nursing Workload in Hospital
2018A dissertation project at the Witten/Herdecke University [1] is investigating which (nursing sensitive) patient characteristics are suitable for predicting a higher or lower degree of nursing workload.
Madlen Fiebig +2 more
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Autonomic Workload Change Classification and Prediction for Big Data Workloads
2019 IEEE International Conference on Big Data (Big Data), 2019The big data software stack based on Apache Spark and Hadoop has become mission critical in many enterprises. Performance of Spark and Hadoop jobs depends on a large number of configuration settings. The manual tuning procedure is expensive and brittle.
Mikhail Genkin, Frank Dehne
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