Thanh-Phuong Pham

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Thomas FahringerUniversity of Innsbruck, Institute of Computer Science, Distributed and Parallel Systems GroupVerified email at dps.uibk.ac.at
Juan J. DurilloLeibniz Supercomputing Center of the Bavarian Academy of Science and HumanitiesVerified email at lrz.de
Sashko RistovUniversity of Innsbruck, AustriaVerified email at uibk.ac.at

Thanh-Phuong Pham

Verified email at helsinki.fi - Homepage


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Predicting workflow task execution time in the cloud using a two-stage machine learning approach TP Pham, JJ Durillo, T Fahringer IEEE Transactions on Cloud Computing 8 (1), 256-268, 2017	114	2017
Performance and behavior characterization of amazon ec2 spot instances TP Pham, S Ristov, T Fahringer 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 73-81, 2018	34	2018
Evolutionary multi-objective workflow scheduling for volatile resources in the cloud TP Pham, T Fahringer IEEE Transactions on Cloud Computing 10 (3), 1780-1791, 2020	32	2020
Resilient techniques against disruptions of volatile cloud resources S Ristov, T Fahringer, D Peer, TP Pham, M Gusev, C Mas-Machuca Guide to Disaster-Resilient Communication Networks, 379-400, 2020	5	2020
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models TP Pham arXiv preprint arXiv:2211.10921, 2022		2022

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