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Mohammadreza (Reza) Barzegaran
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Citata da
Anno
The FORA fog computing platform for industrial IoT
P Pop, B Zarrin, M Barzegaran, S Schulte, S Punnekkat, J Ruh, W Steiner
Information Systems 98, 101727, 2021
802021
Performance Optimization of Control Applications on Fog Computing Platforms Using Scheduling and Isolation
M Barzegaran, P Cervin, Anton, Pop
IEEE Access 8, 104085-104098, 2020
282020
Communication scheduling for control performance in TSN-based fog computing platforms
M Barzegaran, P Pop
IEEE Access 9, 50782-50797, 2021
262021
Towards quality-of-control-aware scheduling of industrial applications on fog computing platforms
M Barzegaran, A Cervin, P Pop
Proceedings of the Workshop on Fog Computing and the IoT, 1-5, 2019
192019
Quality-of-control-aware scheduling of communication in TSN-based fog computing platforms using constraint programming
M Barzegaran, B Zarrin, P Pop
2nd Workshop on Fog Computing and the IoT, 3: 1--3: 9, 2020
182020
Real-time traffic guarantees in heterogeneous time-sensitive networks
M Barzegaran, N Reusch, L Zhao, SS Craciunas, P Pop
Proceedings of the 30th International Conference on Real-Time Networks and …, 2022
162022
Fogification of electric drives: An industrial use case
M Barzegaran, N Desai, J Qian, K Tange, B Zarrin, P Pop, J Kuusela
2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020
152020
Using jittertime to analyze transient performance in adaptive and reconfigurable control systems
A Cervin, P Pazzaglia, M Barzegaran, R Mahfouzi
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
152019
Real-time guarantees for critical traffic in ieee 802.1 qbv tsn networks with unscheduled and unsynchronized end-systems
M Barzegaran, N Reusch, L Zhao, SS Craciunas, P Pop
arXiv preprint arXiv:2105.01641, 2021
122021
A model of flow separation controlled by dielectric barrier discharge
M Barzegaran, A Kosari
Chinese Journal of Aeronautics 30 (5), 1660-1669, 2017
102017
Configuration optimization for heterogeneous time-sensitive networks
N Reusch, M Barzegaran, L Zhao, SS Craciunas, P Pop
Real-Time Systems 59 (4), 705-747, 2023
92023
Towards extensibility-aware scheduling of industrial applications on fog nodes
M Barzegaran, V Karagiannis, C Avasalcai, P Pop, S Schulte, S Dustdar
2020 IEEE International Conference on Edge Computing (EDGE), 67-75, 2020
92020
Extensibility-aware fog computing platform configuration for mixed-criticality applications
M Barzegaran, P Pop
Journal of Systems Architecture 133, 102776, 2022
62022
Electric drives as fog nodes in a fog computing‐based industrial use case
M Barzegaran, N Desai, J Qian, P Pop
The Journal of Engineering 2021 (12), 745-761, 2021
52021
ELISE: A reinforcement learning framework to optimize the slotframe size of the TSCH protocol in IoT networks
FF Jurado-Lasso, M Barzegaran, JF Jurado, X Fafoutis
IEEE Systems Journal, 2024
42024
The FORA european training network on fog computing for robotics and industrial automation
M Barzegaran, P Pop
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
32023
A Decomposed Deep Training Solution for Fog Computing Platforms
J Qian, M Barzegaran
ACM/IEEE 6th Symposium on Edge Computing (SEC), 2021
32021
Configuration Optimization of Fog Computing Platforms for Control Applications.
M Barzegaran
Technical University of Denmark, 2021
32021
A decentralized approach for determining configurator placement in dynamic edge networks
I Murturi, M Barzegaran, S Dustdar
2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020
32020
A Robust Control with the Combination of Fuzzy and SMC to Stabilize the Power System
MM Barzegaran, SS Tajvidi
Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 4 …, 2016
12016
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