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Predicting the Impact of Function Size in Serverless Computing

. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, (2020)

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Predicting the Impact of Function Size in Serverless Computing. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, (2020)An algorithm for radar power line detection with tracking., , , and . APSIPA, page 1-4. IEEE, (2012)A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys., , , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Sizeless: predicting the optimal size of serverless functions., , , , , and . Middleware, page 248-259. ACM, (2021)HMMs for Unsupervised Vietnamese Word Segmentation., , , and . RIVF, page 1-6. IEEE, (2019)Applying Recurrent Fuzzy Neural Network to Predict the Runoff of Srepok River., , , , and . CISIM, volume 8838 of Lecture Notes in Computer Science, page 55-66. Springer, (2014)Inverse algorithm for Streeter-Phelps equation in water pollution control problem.. Math. Comput. Simul., (2020)Constructing and Understanding Customer Spending Prediction Models., , , , and . SN Comput. Sci., 4 (6): 852 (November 2023)Reaeration and Dispersion Coefficients Prediction for a River Flow by Implementing Machine Learning Algorithm on MIKE Dataset., and . ICCMS, page 17-22. ACM, (2021)On the Feasibility of Machine Learning Models for Customer Spending Prediction Problem., , , , and . FDSE (CCIS Volume), volume 1688 of Communications in Computer and Information Science, page 517-531. Springer, (2022)