| 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 | 126 | 2019 |
| Edge Enhanced Deep Learning System for Large-scale Video Stream Analytics M Ali, MU Yaseen, A Anjum, AR Zamani, D Balouek-Thomert, O Rana, ... 2nd IEEE International Conference on Fog and Edge Computing (ICFEC 2018), 2018 | 83 | 2018 |
| 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 | 70 | 2020 |
| Deadline constrained video analysis via in-transit computational environments AR Zamani, M Zou, J Diaz-Montes, I Petri, O Rana, A Anjum, M Parashar IEEE Transactions on Services Computing 13 (1), 59-72, 2017 | 59 | 2017 |
| Integrating software defined networks within a cloud federation I Petri, M Zou, AR Zamani, J Diaz-Montes, O Rana, M Parashar 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015 | 32 | 2015 |
| Computing in the Continuum: Combining Pervasive Devices and Services to Support Data-Driven Applications M AbdelBaky, M Zou, AR Zamani, E Renart, J Diaz-Montes, M Parashar 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 24 | 2017 |
| Edge-cloud orchestration: Strategies for service placement and enactment I Petri, O Rana, AR Zamani, Y Rezgui 2019 IEEE International Conference on Cloud Engineering (IC2E), 67-75, 2019 | 23 | 2019 |
| Edge-supported approximate analysis for long running computations AR Zamani, I Petri, J Diaz-Montes, O Rana, M Parashar 2017 IEEE 5th International Conference on Future Internet of Things and …, 2017 | 19 | 2017 |
| A computational model to support in-network data analysis in federated ecosystems AR Zamani, M Zou, J Diaz-Montes, I Petri, O Rana, M Parashar Future Generation Computer Systems 80, 342-354, 2018 | 18 | 2018 |
| 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), 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, ... The Eighth International Workshop on Data-Intensive Computing in the Clouds, 2017 | 10 | 2017 |
| Leveraging In-Transit Computational Capabilities in Federated Ecosystems M Zou, AR Zamani, J Diaz-Montes, I Petri, O Rana, M Parashar 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), 81-90, 2016 | 10 | 2016 |
| Realizing the potential of iot using software-defined ecosystems M Parashar, M Abdelbaky, M Zou, AR Zamani, J Diaz-Montes 2015 IEEE 8th International Conference on Cloud Computing (CLOUD), 1149-1158, 2015 | 9 | 2015 |
| Ensemble-based Network Edge Processing I Petri, AR Zamani, D Balouek-Thomert, O Rana, Y Rezgui, M Parashar 11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018), 2018 | 8 | 2018 |
| Distributed multi-cloud based building data analytics I Petri, J Diaz-Montes, M Zou, AR Zamani, TH Beach, OF Rana, ... Developing Interoperable and Federated Cloud Architecture, 143-169, 2016 | 6 | 2016 |
| A novel hardware implementation for joint heart rate, respiration rate, and gait analysis applied to body area networks M Khazraee, AR Zamani, M Hallajian, SP Ehsani, HA Moghaddam, ... 2013 IEEE International Symposium on Circuits and Systems (ISCAS), 1889-1892, 2013 | 4 | 2013 |
| An edge-aware autonomic runtime for data streaming and in-transit processing AR Zamani, D Balouek-Thomert, JJ Villalobos, I Rodero, M Parashar Future Generation Computer Systems 110, 107-118, 2020 | 3 | 2020 |
| Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources AR Zamani, D Balouek-Thomert, JJ Villalobos, I Rodero, M Parashar 30th International Symposium on Computer Architecture and High Performance …, 2018 | 3 | 2018 |
| Scheduling edge and in-transit computing resources for stream processing applications AR Zamani Zadeh Najari Rutgers University-School of Graduate Studies, 2019 | | 2019 |
| Scheduling Edge and In-Transit Computing Resources for Stream Processing Applications ARZZ Najari Rutgers The State University of New Jersey, School of Graduate Studies, 2019 | | 2019 |
Omer RanaCardiff University, UKVahvistettu sähköpostiosoite verkkotunnuksessa cardiff.ac.uk