| Adding virtualization capabilities to the Grid’5000 testbed D Balouek, AC Amarie, G Charrier, F Desprez, E Jeannot, E Jeanvoine, ... Cloud Computing and Services Science: Second International Conference …, 2013 | 372 | 2013 |
| Edge enhanced deep learning system for large-scale video stream analytics M Ali, A Anjum, MU Yaseen, AR Zamani, D Balouek-Thomert, O Rana, ... 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), 1-10, 2018 | 71 | 2018 |
| Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows D Balouek-Thomert, EG Renart, AR Zamani, A Simonet, M Parashar The International Journal of High Performance Computing Applications 33 (6 …, 2019 | 53 | 2019 |
| RES: Real-time video stream analytics using edge enhanced clouds M Ali, A Anjum, O Rana, AR Zamani, D Balouek-Thomert, M Parashar IEEE Transactions on Cloud Computing 10 (2), 792-804, 2020 | 37 | 2020 |
| A distributed multi-sensor machine learning approach to earthquake early warning K Fauvel, D Balouek-Thomert, D Melgar, P Silva, A Simonet, G Antoniu, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 403-411, 2020 | 36 | 2020 |
| Distributed operator placement for IoT data analytics across edge and cloud resources EG Renart, ADS Veith, D Balouek-Thomert, MD De Assunção, L Lefevre, ... 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019 | 31 | 2019 |
| Online decision-making using edge resources for content-driven stream processing E Renart, D Balouek-Thomert, X Hu, J Gong, M Parashar 2017 IEEE 13th International Conference on e-Science (e-Science), 384-392, 2017 | 21 | 2017 |
| Enhancing microservices architectures using data-driven service discovery and QoS guarantees Z Houmani, D Balouek-Thomert, E Caron, M Parashar 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 16 | 2020 |
| An edge-based framework for enabling data-driven pipelines for iot systems EG Renart, D Balouek-Thomert, M Parashar 2019 IEEE International Parallel and Distributed Processing Symposium …, 2019 | 16 | 2019 |
| Parallel differential evolution approach for cloud workflow placements under simultaneous optimization of multiple objectives D Balouek-Thomert, AK Bhattacharya, E Caron, K Gadireddy, L Lefevre 2016 IEEE Congress on Evolutionary Computation (CEC), 822-829, 2016 | 15 | 2016 |
| Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis E Chuah, A Jhumka, S Alt, D Balouek-Thomert, JC Browne, M Parashar Journal of Parallel and Distributed Computing 132, 95-112, 2019 | 12 | 2019 |
| Supporting data-driven workflows enabled by large scale observatories AR Zamani, M AbdelBaky, D Balouek-Thomert, I Rodero, M Parashar 2017 IEEE 13th International Conference on e-Science (e-Science), 592-595, 2017 | 11 | 2017 |
| Submarine: A subscription‐based data streaming framework for integrating large facilities and advanced cyberinfrastructure AR Zamani, M AbdelBaky, D Balouek‐Thomert, JJ Villalobos, I Rodero, ... Concurrency and Computation: Practice and Experience 32 (16), e5256, 2020 | 9 | 2020 |
| Energy-aware server provisioning by introducing middleware-level dynamic green scheduling D Balouek-Thomert, E Caron, L Lefevre 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 9 | 2015 |
| Ensemble-based network edge processing I Petri, AR Zamani, D Balouek-Thomert, O Rana, Y Rezgui, M Parashar 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing …, 2018 | 8 | 2018 |
| Pulsar: Enabling dynamic data-driven IoT applications E Renart, D Balouek-Thomert, M Parashar 2017 IEEE 2nd International Workshops on Foundations and Applications of …, 2017 | 8 | 2017 |
| Harnessing the computing continuum for urgent science D Balouek-Thomert, I Rodero, M Parashar ACM SIGMETRICS Performance Evaluation Review 48 (2), 41-46, 2020 | 7 | 2020 |
| Autonomics at the edge: Resource orchestration for edge native applications I Petri, OF Rana, LF Bittencourt, D Balouek-Thomert, M Parashar IEEE Internet Computing 25 (4), 21-29, 2020 | 7 | 2020 |
| Leveraging energy-efficient non-lossy compression for data-intensive applications I Rais, D Balouek-Thomert, AC Orgerie, L Lefevre, M Parashar 2019 International Conference on High Performance Computing & Simulation …, 2019 | 5 | 2019 |
| Edge based data-driven pipelines (technical report) EG Renart, D Balouek-Thomert, M Parashar arXiv preprint arXiv:1808.01353, 2018 | 5 | 2018 |
Ali Reza ZamaniRutgers UniversityBestätigte E-Mail-Adresse bei rutgers.edu
