Roland Mathá, PhD

Autotuning of exascale applications with anomaly detection
Dragi Kimovski, Roland Mathá, Gabriel Iuhasz, Fabrizio Marozzo, Dana Petcu, and Radu Prodan; Frontiers in Big Data, section Data Mining and Management; 2021.

Cloud, Fog or Edge: Where to Compute?
Dragi Kimovski, Roland Mathá, Josef Hammer, Narges Mehran, Hermann Hellwagner and Radu Prodan; IEEE Internet Computing; 2021; DOI: 10.1109/MIC.2021.3050613.

The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures
Laurens Versluis, Roland Mathá, Sacheendra Talluri, Tim Hegeman, Radu Prodan, Ewa Deelman, and Alexandru Iosup; IEEE Transactions on Parallel and Distributed Systems (TPDS 2020); DOI: 10.1109/TPDS.2020.2984821 ; A* ranking.

Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness
Roland Mathá, Sasko Ristov, Thomas Fahringer and Radu Prodan; IEEE Transactions on Parallel and Distributed Systems (TPDS 2020); DOI: 10.1109/TPDS.2020.2967662; A* ranking.

A new model for cloud elastic services efficiency
Sasko Ristov, Roland Mathá, Dragi Kimovski, Radu Prodan and Marjan Gusev; International Journal of Parallel, Emergent and Distributed Systems (2018); DOI: 10.1080/17445760.2018.1434174 

Simulation of a workflow execution as a real Cloud by adding noise
Roland Mathá, Sasko Ristov and Radu Prodan; Simulation Modelling Practice and Theory (SIMPAT 2017);  DOI: 10.1016/j.simpat.2017.09.003; Impact Factor (2018) = 2.426

Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instance
Roland Mathá, Dragi Kimovski, Anatoliy Zabrovskiy, Christian Timmerer and Radu Prodan, 17th IEEE eScience 2021.

ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences using Artificial Neural Network
Anatoliy Zabrovskiy, Prateek Agrawal, Roland Mathá, Christian Timmerer and Radu Prodan; 6th IEEE International Conference on Multimedia Big Data (BigMM 2020); DOI: 10.1109/BigMM50055.2020.00056

A Simplified Model for Simulating the Execution of a Workflow in Cloud
Roland Mathá, Sasko Ristov and Radu Prodan; 23rd International European Conference on Parallel and Distributed Computing (Euro-Par 2017); DOI: 10.1007/978- 3-319-64203-1 

Multi-objective Service Oriented Network Provisioning in ultra-scale systems
Dragi Kimovski, Sasko Ristov, Roland Mathá and Radu Prodan; Fifth Workshop on Large Scale Distributed Virtual Environments (Euro-Par Workshop LSDVE 2017); DOI: 10.1007/978-3-319-75178-8_43

Analysing the performance instability correlation with various workflow and cloud parameters
Sasko Ristov, Roland Mathá and Radu Prodan; 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2017); DOI: 10.1109/PDP.2017.80