Παρακολούθηση
Roland Mathá
Roland Mathá
University of Innsbruck
Μη επαληθευμένη διεύθυνση ηλ. ταχυδρομείου - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Cloud, Fog or Edge: Where to Compute?
RP Dragi Kimovski, Roland Mathá, Josef Hammer, Narges Mehran, Hermann Hellwagner
IEEE Internet Computing, 2021
96*2021
The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures
L Versluis, R Mathá, S Talluri, T Hegeman, R Prodan, E Deelman, A Iosup
IEEE Transactions on Parallel and Distributed Systems 31 (9), 2170-2184, 2020
442020
ComplexCTTP: complexity class based transcoding time prediction for video sequences using artificial neural network
A Zabrovskiy, P Agrawal, R Mathá, C Timmerer, R Prodan
2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 316-325, 2020
222020
Analysing the performance instability correlation with various workflow and cloud parameters
S Ristov, R Mathá, R Prodan
2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017
162017
Where to encode: A performance analysis of x86 and arm-based amazon ec2 instances
R Mathá, D Kimovski, A Zabrovskiy, C Timmerer, R Prodan
2021 IEEE 17th International Conference on eScience (eScience), 118-127, 2021
152021
Simulation of a workflow execution as a real cloud by adding noise
R Mathá, S Ristov, R Prodan
Simulation Modelling Practice and Theory 79, 37-53, 2017
152017
Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness
R Mathá, S Ristov, T Fahringer, R Prodan
IEEE Transactions on Parallel and Distributed Systems 31 (7), 1559-1574, 2020
142020
Multi-objective service oriented network provisioning in ultra-scale systems
D Kimovski, S Ristov, R Mathá, R Prodan
Euro-Par 2017: Parallel Processing Workshops: Euro-Par 2017 International …, 2018
82018
A new model for cloud elastic services efficiency
S Ristov, R Mathá, D Kimovski, R Prodan, M Gusev
International Journal of Parallel, Emergent and Distributed Systems 34 (6 …, 2019
62019
A simplified model for simulating the execution of a workflow in cloud
R Mathá, S Ristov, R Prodan
European Conference on Parallel Processing, 319-331, 2017
32017
Autotuning of exascale applications with anomalies detection
D Kimovski, R Mathá, G Iuhasz, F Marozzo, D Petcu, R Prodan
Frontiers in big Data 4, 657218, 2021
22021
The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures--Technical Report
L Versluis, R Mathá, S Talluri, T Hegeman, R Prodan, E Deelman, A Iosup
arXiv preprint arXiv:1906.07471, 2019
22019
TOWARDS A REALISTIC CLOUD SIMULATION
R Mathá
UNIVERSITY OF INNSBRUCK, 2020
2020
PDP 2019
I Colonnelli, N Mehran, T Cojean, E Carlini, D Spataro, MV Avolio, ...
PDP 2017
E Agullo, MV Avolio, I Azimi, S Barbhuiya, E Barlaskar, A Bolotov, C Cao, ...
PDP 2018
A De Rango, A Namazi, A Douma, A Tomas, A Lounis, AF Gil, A Esnard, ...
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