Multi-objective Service Oriented Network Provisioning in Ultra-Scale Systems. - Dragi Kimovski; Sashko Ristov; Roland Mathá; Radu Prodan (Euro-Par Workshops, 2017)

A Simplified Model for Simulating the Execution of a Workflow in Cloud. - Roland Mathá; Sasko Ristov; Radu Prodan (Euro-Par, 2017)

Analysing the Performance Instability Correlation with Various Workflow and Cloud Parameters. - Sasko Ristov; Roland Mathá; Radu Prodan (PDP, 2017)

Simulation of a workflow execution as a real Cloud by adding noise. - Roland Mathá; Sasko Ristov; Radu Prodan (Simul. Model. Pract. Theory, 2017)

The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures - Technical Report. - Laurens Versluis; Roland Mathá; Sacheendra Talluri; Tim Hegeman; Radu Prodan; Ewa Deelman; Alexandru Iosup (CoRR, 2019)

A new model for cloud elastic services efficiency. - Sasko Ristov; Roland Mathá; Dragi Kimovski; Radu Prodan; Marjan Gusev (Int. J. Parallel Emergent Distributed Syst., 2019)

ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network. - Anatoliy Zabrovskiy; Prateek Agrawal; Roland Mathá; Christian Timmerer; Radu Prodan (BigMM, 2020)

Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness. - Roland Mathá; Sasko Ristov; Thomas Fahringer; Radu Prodan (IEEE Trans. Parallel Distributed Syst., 2020)

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; Alexandru Iosup (IEEE Trans. Parallel Distributed Syst., 2020)

Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances. - Roland Mathá; Dragi Kimovski; Anatoliy Zabrovskiy; Christian Timmerer; Radu Prodan (e-Science, 2021)

Autotuning of Exascale Applications With Anomalies Detection. - Dragi Kimovski; Roland Mathá; Gabriel Iuhasz; Fabrizio Marozzo; Dana Petcu; Radu Prodan (Frontiers Big Data, 2021)

Cloud, Fog, or Edge: Where to Compute? - Dragi Kimovski; Roland Mathá; Josef Hammer; Narges Mehran; Hermann Hellwagner; Radu Prodan (IEEE Internet Comput., 2021)