关注
Ali Reza Zamani
标题
引用次数
引用次数
年份
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
1062019
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
822018
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
582020
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
542017
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
332015
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
212017
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
182019
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
182018
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
172017
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
112017
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
102017
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
102016
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
92015
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
82018
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
52013
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
32018
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
22016
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
12020
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
系统目前无法执行此操作,请稍后再试。
文章 1–20