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Radu Prodan
Person information

- affiliation: University of Klagenfurt, Austria
- affiliation: University of Innsbruck, Austria
- affiliation (PhD 2004): University of Vienna, Austria
- affiliation (1999 - 2000): Swiss Scientific Computing Centre, Manno, Switzerland
- affiliation (1997 - 1999): University of Basel, Switzerland
- affiliation (until 1997): Technical University of Cluj-Napoca, Romania
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2020 – today
- 2023
- [j78]Sashko Ristov
, Marjan Gusev
, Armin Hohenegger, Radu Prodan
, Dimitar Mileski
, Pano Gushev
, Goran Temelkov:
Serverless Electrocardiogram Stream Processing in Federated Clouds With Lambda Architecture. Computer 56(9): 18-27 (2023) - [j77]Nikolay Nikolov, Arnor Solberg, Radu Prodan, Ahmet Soylu, Mihhail Matskin, Dumitru Roman:
Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring. Computer 56(10): 40-48 (2023) - [j76]Pawan Kumar Verma
, Prateek Agrawal
, Vishu Madaan, Radu Prodan:
MCred: multi-modal message credibility for fake news detection using BERT and CNN. J. Ambient Intell. Humaniz. Comput. 14(8): 10617-10629 (2023) - [j75]Akif Quddus Khan
, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin
, Christoph Bussler, Ahmet Soylu:
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. Sensors 23(2): 564 (2023) - [j74]Inês Rito Lima, Vasco Filipe, Cláudia Marinho, Alexandre Ulisses, Antorweep Chakravorty, Atanas Hristov, Nishant Saurabh, Zhiming Zhao, Ruyue Xin, Radu Prodan:
ARTICONF decentralized social media platform for democratic crowd journalism. Soc. Netw. Anal. Min. 13(1): 116 (2023) - [j73]Juanjuan Li
, Rui Qin
, Cristina Olaverri-Monreal
, Radu Prodan
, Fei-Yue Wang
:
Logistics 5.0: From Intelligent Networks to Sustainable Ecosystems. IEEE Trans. Intell. Veh. 8(7): 3771-3774 (2023) - [j72]Zahra Najafabadi Samani
, Narges Mehran
, Dragi Kimovski
, Shajulin Benedict
, Nishant Saurabh
, Radu Prodan
:
Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog. IEEE Trans. Parallel Distributed Syst. 34(6): 1877-1896 (2023) - [c164]Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
Towards Graph-based Cloud Cost Modelling and Optimisation. COMPSAC 2023: 1337-1342 - [c163]Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi
, Michael Cochez, Alexandru Iosup, Dumitru Roman, Joze M. Rozanec, Ana Lucia Varbanescu, Radu Prodan:
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. COMPSAC 2023: 1459-1464 - [c162]Kurt Horvath, Dragi Kimovski, Christoph Uran, Helmut Wöllik, Radu Prodan:
MESDD: A Distributed Geofence-Based Discovery Method for the Computing Continuum. Euro-Par 2023: 125-138 - [c161]Hadi Amirpour, Vignesh V. Menon, Samira Afzal, Radu Prodan, Christian Timmerer:
Optimizing Video Streaming for Sustainability and Quality: The Role of Preset Selection in Per-Title Encoding. ICME 2023: 1679-1684 - [c160]Zahra Najafabadi Samani
, Narges Mehran, Dragi Kimovski, Radu Prodan:
Proactive SLA-aware Application Placement in the Computing Continuum. IPDPS 2023: 468-479 - [c159]Josef Hammer, Dragi Kimovski, Narges Mehran, Radu Prodan, Hermann Hellwagner:
C3-Edge - An Automated Mininet-Compatible SDN Testbed on Raspberry Pis and Nvidia Jetsons. NOMS 2023: 1-5 - [c158]Alexandru Iosup, Radu Prodan:
ICPE'23 GraphSys Workshop Chairs Introduction (Welcome). ICPE (Companion) 2023: 207-208 - [c157]Alexandru Iosup, Radu Prodan, Ana Lucia Varbanescu, Sacheendra Talluri, Gilles Magalhaes, Kailhan Hokstam, Hugo Zwaan, Vincent van Beek, Reza Farahani, Dragi Kimovski:
Graph Greenifier: Towards Sustainable and Energy-Aware Massive Graph Processing in the Computing Continuum. ICPE (Companion) 2023: 209-214 - [c156]Reza Farahani
, Dragi Kimovski
, Sashko Ristov
, Alexandru Iosup
, Radu Prodan
:
Towards Sustainable Serverless Processing of Massive Graphs on the Computing Continuum. ICPE (Companion) 2023: 221-226 - [c155]Sashko Ristov
, Reza Farahani
, Radu Prodan
:
Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaS. ICPE (Companion) 2023: 227-231 - [c154]Nuria de Lama Sanchez
, Peter Haase
, Dumitru Roman, Radu Prodan:
Boosting the Impact of Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe Graph-Massivizer: A Horizon Europe Project. ICPE (Companion) 2023: 233-238 - [c153]Laurentiu Alexandru Vasiliu
, Dumitru Roman
, Radu Prodan
:
Extreme and Sustainable Graph Processing for Green Finance Investment and Trading. ICPE (Companion) 2023: 249-250 - [i13]Amin Setayesh, Hamid Hadian, Radu Prodan:
An Efficient Online Prediction of Host Workloads Using Pruned GRU Neural Nets. CoRR abs/2303.16601 (2023) - 2022
- [j71]Dragi Kimovski
, Sasko Ristov
, Radu Prodan
:
Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum. Computer 55(10): 55-65 (2022) - [j70]Dumitru Roman
, Radu Prodan
, Nikolay Nikolov, Ahmet Soylu, Mihhail Matskin, Andrea Marrella
, Dragi Kimovski
, Brian Elvesæter, Anthony Simonet-Boulogne
, Giannis Ledakis, Hui Song, Francesco Leotta
, Evgeny Kharlamov:
Big Data Pipelines on the Computing Continuum: Tapping the Dark Data. Computer 55(11): 74-84 (2022) - [j69]Gagangeet Singh Aujla
, Radu Prodan
, Danda B. Rawat
:
Big data analytics in Industry 4.0 ecosystems. Softw. Pract. Exp. 52(3): 639-641 (2022) - [j68]Dragi Kimovski
, Narges Mehran
, Christopher Emanuel Kerth, Radu Prodan
:
Mobility-Aware IoT Application Placement in the Cloud - Edge Continuum. IEEE Trans. Serv. Comput. 15(6): 3358-3371 (2022) - [c152]Inês Rito Lima, Cláudia Marinho, Vasco Filipe, Alexandre Ulisses, Nishant Saurabh
, Antorweep Chakravorty, Zhiming Zhao, Atanas Hristov, Radu Prodan:
MOGPlay: A Decentralized Crowd Journalism Application for Democratic News Production. ASONAM 2022: 462-469 - [c151]Sashko Ristov, Mika Hautz
, Christian Hollaus, Radu Prodan:
SimLess: simulate serverless workflows and their twins and siblings in federated FaaS. SoCC 2022: 323-339 - [c150]Narges Mehran
, Zahra Najafabadi Samani
, Dragi Kimovski, Radu Prodan:
Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum. CLUSTER 2022: 58-70 - [c149]Dragi Kimovski, Christian Bauer, Narges Mehran, Radu Prodan:
Big Data Pipeline Scheduling and Adaptation on the Computing Continuum. COMPSAC 2022: 1153-1158 - [c148]Alexander Lercher, Nishant Saurabh
, Radu Prodan:
Context-aware Community Evolution Prediction in Online Social Networks. ISPA/BDCloud/SocialCom/SustainCom 2022: 182-189 - [c147]Aso Validi
, Vladislav Kashansky, Jihed Khiari, Hamid Hadian, Radu Prodan, Juanjuan Li, Fei-Yue Wang, Cristina Olaverri-Monreal:
Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform. ITSC 2022: 3152-3158 - [c146]Samira Afzal, Zahra Najafabadi Samani
, Narges Mehran, Christian Timmerer, Radu Prodan:
MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum. NCA 2022: 181-190 - [c145]Kurt Horvath, Dragi Kimovski, Christoph Uran, Radu Prodan, Helmut Wöllik:
Geofence-Based Service Discovery in the Computing Continuum. UCC 2022: 187-188 - [c144]Narges Mehran, Radu Prodan:
CNN-assisted Road Sign Inspection on the Computing Continuum. UCC 2022: 201-206 - [c143]Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Hui Song, Dumitru Roman, Ahmet Soylu:
Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model. UCC 2022: 317-320 - [c142]Marjan Gusev, Sashko Ristov, Andrei Amza, Armin Hohenegger, Radu Prodan, Dimitar Mileski
, Pano Gushev, Goran Temelkov:
CardioHPC: Serverless Approaches for Real-Time Heart Monitoring of Thousands of Patients. WORKS@SC 2022: 76-83 - [i12]Dragi Kimovski, Sasko Ristov, Radu Prodan:
Decentralized Machine Learning for Intelligent Health Care Systems on the Computing Continuum. CoRR abs/2207.14584 (2022) - [i11]Aso Validi, Vladislav Kashansky, Jihed Khiari, Hamid Hadian, Radu Prodan, Juanjuan Li, Fei-Yue Wang, Cristina Olaverri-Monreal:
Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform. CoRR abs/2208.06432 (2022) - 2021
- [j67]Prateek Agrawal
, Anatoliy Zabrovskiy, Adithyan Ilangovan, Christian Timmerer, Radu Prodan:
FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos. Clust. Comput. 24(3): 1605-1621 (2021) - [j66]Yasir Noman Khalid, Muhammad Aleem
, Usman Ahmed, Radu Prodan, Muhammad Arshad Islam, Muhammad Azhar Iqbal:
FusionCL: a machine-learning based approach for OpenCL kernel fusion to increase system performance. Computing 103(10): 2171-2202 (2021) - [j65]Fatima Abdullah, Dragi Kimovski, Radu Prodan, Kashif Munir
:
Handover authentication latency reduction using mobile edge computing and mobility patterns. Computing 103(11): 2667-2686 (2021) - [j64]Dragi Kimovski, Roland Mathá, Gabriel Iuhasz, Fabrizio Marozzo, Dana Petcu, Radu Prodan:
Autotuning of Exascale Applications With Anomalies Detection. Frontiers Big Data 4: 657218 (2021) - [j63]Sasko Ristov
, Thomas Fahringer
, Radu Prodan
, Magdalena Kostoska
, Marjan Gusev
, Schahram Dustdar
, Ewa Deelman:
Interhost Orchestration Platform Architecture for Ultrascale Cloud Applications. IEEE Internet Comput. 25(3): 23-30 (2021) - [j62]Dragi Kimovski
, Roland Mathá
, Josef Hammer
, Narges Mehran
, Hermann Hellwagner
, Radu Prodan
:
Cloud, Fog, or Edge: Where to Compute? IEEE Internet Comput. 25(4): 30-36 (2021) - [j61]Prateek Agrawal
, Deepak Chaudhary, Vishu Madaan
, Anatoliy Zabrovskiy, Radu Prodan, Dragi Kimovski, Christian Timmerer:
Automated bank cheque verification using image processing and deep learning methods. Multim. Tools Appl. 80(4): 5319-5350 (2021) - [j60]Vishu Madaan, Aditya Roy, Charu Gupta
, Prateek Agrawal
, Anand Sharma
, Cristian Bologa, Radu Prodan:
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks. New Gener. Comput. 39(3): 583-597 (2021) - [j59]Pawan Kumar Verma
, Prateek Agrawal
, Ivone Amorim
, Radu Prodan
:
WELFake: Word Embedding Over Linguistic Features for Fake News Detection. IEEE Trans. Comput. Soc. Syst. 8(4): 881-893 (2021) - [c141]Narges Mehran
, Dragi Kimovski, Radu Prodan:
A Two-Sided Matching Model for Data Stream Processing in the Cloud - Fog Continuum. CCGRID 2021: 514-524 - [c140]Roland Mathá, Dragi Kimovski, Anatoliy Zabrovskiy, Christian Timmerer, Radu Prodan:
Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances. e-Science 2021: 118-127 - [c139]Nishant Saurabh
, Manuel Herold, Hamid Mohammadi Fard
, Radu Prodan
:
SMART: A Tool for Trust and Reputation Management in Social Media. Euro-Par Workshops 2021: 417-427 - [c138]Anatoliy Zabrovskiy, Prateek Agrawal
, Christian Timmerer, Radu Prodan:
FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning. FRUCT 2021: 292-302 - [c137]Vladislav Kashansky, Nishant Saurabh
, Radu Prodan, Aso Validi
, Cristina Olaverri-Monreal, Renate Burian, Gerhard Burian, Dimo Hirsch, Yisheng Lv, Fei-Yue Wang, Hai Zuhge:
The ADAPT Project: Adaptive and Autonomous Data Performance Connectivity and Decentralized Transport Network. GoodIT 2021: 115-120 - [c136]Vladislav Kashansky
, Gleb I. Radchenko
, Radu Prodan
:
Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum. ICCS (1) 2021: 779-793 - [c135]Zahra Najafabadi Samani
, Nishant Saurabh
, Radu Prodan:
Multilayer Resource-aware Partitioning for Fog Application Placement. ICFEC 2021: 9-18 - [c134]Dumitru Roman, Nikolay Nikolov, Ahmet Soylu
, Brian Elvesæter
, Hui Song, Radu Prodan, Dragi Kimovski, Andrea Marrella, Francesco Leotta
, Mihhail Matskin, Giannis Ledakis
, Konstantinos Theodosiou, Anthony Simonet-Boulogne, Fernando Perales
, Evgeny Kharlamov, Alexandre Ulisses, Arnor Solberg, Raffaele Ceccarelli:
Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview. ISCC 2021: 1-4 - [c133]Vladislav Kashansky, Radu Prodan, Aso Validi
, Cristina Olaverri-Monreal, Gleb I. Radchenko:
Monitoring system architecture for the multi-scale blockchain-based logistic network. UCC Companion 2021: 10:1-10:6 - [i10]Dragi Kimovski, Roland Mathá, Josef Hammer, Narges Mehran, Hermann Hellwagner, Radu Prodan:
Cloud, Fog or Edge: Where to Compute? CoRR abs/2101.10417 (2021) - [i9]Narges Mehran, Dragi Kimovski, Radu Prodan:
A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum. CoRR abs/2105.07936 (2021) - [i8]Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan:
Multilayer Resource-aware Partitioning for Fog Application Placement. CoRR abs/2105.11033 (2021) - [i7]Roland Mathá, Dragi Kimovski, Anatoliy Zabrovskiy, Christian Timmerer, Radu Prodan:
Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances. CoRR abs/2106.06242 (2021) - 2020
- [j58]Zhiming Zhao, Ian J. Taylor, Radu Prodan:
Editorial for FGCS Special issue on "Time-critical Applications on Software-defined Infrastructures". Future Gener. Comput. Syst. 112: 1170-1171 (2020) - [j57]Ennio Torre, Juan José Durillo, Vincenzo De Maio
, Prateek Agrawal
, Shajulin Benedict
, Nishant Saurabh
, Radu Prodan:
A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers. Inf. Softw. Technol. 128: 106390 (2020) - [j56]Nishant Saurabh
, Shajulin Benedict
, Jorge G. Barbosa
, Radu Prodan
:
Expelliarmus: Semantic-centric virtual machine image management in IaaS Clouds. J. Parallel Distributed Comput. 146: 107-121 (2020) - [j55]Roland Mathá
, Sasko Ristov, Thomas Fahringer
, Radu Prodan:
Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness. IEEE Trans. Parallel Distributed Syst. 31(7): 1559-1574 (2020) - [j54]Laurens Versluis
, Roland Mathá
, Sacheendra Talluri, Tim Hegeman, Radu Prodan
, Ewa Deelman
, Alexandru Iosup
:
The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures. IEEE Trans. Parallel Distributed Syst. 31(9): 2170-2184 (2020) - [c132]Anatoliy Zabrovskiy, Prateek Agrawal
, Roland Mathá
, Christian Timmerer, Radu Prodan:
ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network. BigMM 2020: 316-325 - [c131]Anandhakumar Palanisamy, Mirsat Sefidanoski, Spiros Koulouzis
, Carlos Rubia, Nishant Saurabh
, Radu Prodan:
Decentralized Social Media Applications as a Service: a Car-Sharing Perspective. ISCC 2020: 1-7 - [c130]Dragi Kimovski, Dijana Capeska Bogatinoska
, Narges Mehran, Aleksandar Karadimce
, Natasa Paunkoska, Radu Prodan, Ninoslav Marina
:
Cloud - Edge Offloading Model for Vehicular Traffic Analysis. ISPA/BDCloud/SocialCom/SustainCom 2020: 746-753 - [c129]Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal
, Fabrizio Marozzo, Gabriel Iuhasz, Marek Justyna
, Javier García-Blas
:
M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. PDP 2020: 72-79 - [c128]Hamid Mohammadi Fard, Radu Prodan, Felix Wolf:
Dynamic Multi-objective Scheduling of Microservices in the Cloud. UCC 2020: 386-393
2010 – 2019
- 2019
- [j53]Sandi Gec, Dragi Kimovski
, Uros Pascinski, Radu Prodan, Vlado Stankovski
:
Semantic approach for multi-objective optimisation of the ENTICE distributed Virtual Machine and container images repository. Concurr. Comput. Pract. Exp. 31(3) (2019) - [j52]Laura Ricci, Alexandru Iosup, Radu Prodan:
EDITORIAL - Special Issue on Large Scale Cooperative Virtual Environments. J. Grid Comput. 17(1): 1-2 (2019) - [j51]Muhammad Aleem
, Radu Prodan, Muhammad Arshad Islam, Muhammad Azhar Iqbal:
On the parallel programmability of JavaSymphony for multi-cores and clusters. Int. J. Ad Hoc Ubiquitous Comput. 30(4): 247-264 (2019) - [j50]Sasko Ristov
, Roland Mathá
, Dragi Kimovski
, Radu Prodan
, Marjan Gusev
:
A new model for cloud elastic services efficiency. Int. J. Parallel Emergent Distributed Syst. 34(6): 653-670 (2019) - [c127]Hamid Mohammadi Fard, Radu Prodan, Felix Wolf:
A Container-Driven Approach for Resource Provisioning in Edge-Fog Cloud. ALGOCLOUD 2019: 59-76 - [c126]Radu Prodan, Ennio Torre, Juan José Durillo, Gagangeet Singh Aujla, Neeraj Kumar, Hamid Mohammadi Fard, Shajulin Benedict
:
Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers. SEAA 2019: 92-99 - [c125]Radu Prodan, Nishant Saurabh
, Zhiming Zhao, Kate Orton-Johnson, Antorweep Chakravorty, Aleksandar Karadimce
, Alexandre Ulisses:
ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment. Euro-Par Workshops 2019: 417-428 - [c124]Zahra Najafabadi Samani
, Alexander Lercher, Nishant Saurabh
, Radu Prodan:
A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications. Euro-Par Workshops 2019: 442-451 - [c123]Narges Mehran
, Dragi Kimovski, Radu Prodan:
MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment. IOT 2019: 21:1-21:8 - [c122]Nishant Saurabh
, Julian Remmers, Dragi Kimovski, Radu Prodan, Jorge G. Barbosa
:
Semantics-Aware Virtual Machine Image Management in IaaS Clouds. IPDPS 2019: 418-427 - [p7]Jesús Carretero, Pierre Kuonen, Radu Prodan, Leonel Sousa:
Introduction. Ultrascale Computing Systems 2019: 1-7 - [p6]Georges Da Costa, Alexey L. Lastovetsky
, Jorge G. Barbosa
, Juan Carlos Díaz Martín, Juan-Luis García Zapata, Matthias Janetschek, Emmanuel Jeannot, João Leitão
, Ravi Reddy Manumachu
, Radu Prodan, Juan A. Rico-Gallego, Peter Van Roy, Ali Shoker
, Albert van der Linde:
Programming models and runtimes. Ultrascale Computing Systems 2019: 9-63 - [p5]Ariel Oleksiak, Laurent Lefèvre, Pedro Alonso, Georges Da Costa, Vincenzo De Maio, Neki Frasheri, Víctor M. García, Joel E. Guerrero
, Sébastien Lafond
, Alexey L. Lastovetsky
, Ravi Reddy Manumachu
, Benson Muite, Anne-Cécile Orgerie, Wojciech Piatek, Jean-Marc Pierson, Radu Prodan, Patricia Stolf, Enida Sheme
, Sébastien Varrette
:
Energy aware ultrascale systems. Ultrascale Computing Systems 2019: 127-188 - [e5]Alexandru Iosup, Radu Prodan, Alexandru Uta, Florin Pop:
18th International Symposium on Parallel and Distributed Computing, ISPDC 2019, Amsterdam, The Netherlands, June 3-7, 2019. IEEE 2019, ISBN 978-1-7281-3801-5 [contents] - [i6]Laurens Versluis, Roland Mathá
, Sacheendra Talluri, Tim Hegeman, Radu Prodan, Ewa Deelman, Alexandru Iosup:
The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures - Technical Report. CoRR abs/1906.07471 (2019) - [i5]Nishant Saurabh, Julian Remmers, Dragi Kimovski, Radu Prodan, Jorge G. Barbosa
:
Semantics-aware Virtual Machine Image Management in IaaS Clouds. CoRR abs/1906.09122 (2019) - [i4]Nishant Saurabh, Dragi Kimovski, Simon Ostermann, Radu Prodan:
VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues. CoRR abs/1906.09182 (2019) - [i3]Narges Mehran, Dragi Kimovski, Radu Prodan:
MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment. CoRR abs/1908.01153 (2019) - 2018
- [j49]Dragi Kimovski
, Attila Csaba Marosi, Sandi Gec, Nishant Saurabh
, Attila Kertész
, Gabor Kecskemeti, Vlado Stankovski
, Radu Prodan
:
Distributed environment for efficient virtual machine image management in federated Cloud architectures. Concurr. Comput. Pract. Exp. 30(20) (2018) - [j48]Laura Ricci, Alexandru Iosup
, Radu Prodan:
Large Scale Cooperative Virtual Environments. Concurr. Comput. Pract. Exp. 30(20) (2018) - [j47]Florin Pop, Alexandru Iosup
, Radu Prodan:
HPS-HDS: High Performance Scheduling for Heterogeneous Distributed Systems. Future Gener. Comput. Syst. 78: 242-244 (2018) - [j46]Florin Pop, Radu Prodan, Gabriel Antoniu:
RM-BDP: Resource management for Big Data platforms. Future Gener. Comput. Syst. 86: 961-963 (2018) - [j45]Vlado Stankovski
, Radu Prodan:
Guest Editors' Introduction: Special Issue on Storage for the Big Data Era. J. Grid Comput. 16(2): 161-163 (2018) - [j44]Yasir Noman Khalid, Muhammad Aleem
, Radu Prodan, Muhammad Azhar Iqbal, Muhammad Arshad Islam:
E-OSched: a load balancing scheduler for heterogeneous multicores. J. Supercomput. 74(10): 5399-5431 (2018) - [c121]Andrei Vlad Postoaca, Florin Pop, Radu Prodan:
h-Fair: Asymptotic Scheduling of Heavy Workloads in Heterogeneous Data Centers. CCGrid 2018: 366-369 - [c120]Anish Jindal
, Gagangeet Singh Aujla, Neeraj Kumar
, Radu Prodan, Mohammad S. Obaidat:
DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR. GLOBECOM 2018: 1-6 - [c119]Vipul Mudgill, Gagangeet Singh Aujla, Neeraj Kumar
, Mohammad S. Obaidat, Radu Prodan:
DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing. GLOBECOM Workshops 2018: 1-6 - [c118]Dragi Kimovski, Humaira Ijaz, Nishant Saurabh
, Radu Prodan:
Adaptive Nature-Inspired Fog Architecture. ICFEC 2018: 1-8 - [i2]Dragi Kimovski, Humaira Ijaz, Nishant Surabh, Radu Prodan:
An Adaptive Nature-inspired Fog Architecture. CoRR abs/1803.03444 (2018) - 2017
- [j43]Matthias Janetschek, Radu Prodan
, Shajulin Benedict
:
A workflow runtime environment for manycore parallel architectures. Future Gener. Comput. Syst. 75: 330-347 (2017) - [j42]Stefan Nastic
, Thomas Rausch
, Ognjen Scekic, Schahram Dustdar
, Marjan Gusev
, Bojana Koteska
, Magdalena Kostoska, Boro Jakimovski
, Sasko Ristov
, Radu Prodan:
A Serverless Real-Time Data Analytics Platform for Edge Computing. IEEE Internet Comput. 21(4): 64-71 (2017) - [j41]Roland Mathá, Sasko Ristov
, Radu Prodan:
Simulation of a workflow execution as a real Cloud by adding noise. Simul. Model. Pract. Theory 79: 37-53 (2017) - [c117]Nishant Saurabh
, Dragi Kimovski, Francesco Gaetano, Radu Prodan:
A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks. CCGrid 2017: 150-159 - [c116]Roland Mathá
, Sasko Ristov
, Radu Prodan:
A Simplified Model for Simulating the Execution of a Workflow in Cloud. Euro-Par 2017: 319-331 - [c115]Dragi Kimovski, Sashko Ristov, Roland Mathá
, Radu Prodan:
Multi-objective Service Oriented Network Provisioning in Ultra-Scale Systems. Euro-Par Workshops 2017: 529-540 - [c114]Sasko Ristov
, Roland Mathá
, Radu Prodan
:
Analysing the Performance Instability Correlation with Various Workflow and Cloud Parameters. PDP 2017: 446-453 - [c113]Radu Prodan
, Thomas Fahringer
, Dragi Kimovski
, Gabor Kecskemeti
, Attila Csaba Marosi, Vlado Stankovski
, Jonathan Becedas, Jose Julio Ramos, Craig Sheridan, Darren Whigham, Carlos Rodrigo Rubia Marcos:
Use Cases towards a Decentralized Repository for Transparent and Efficient Virtual Machine Operations. PDP 2017: 478-485 - [c112]Marjan Gusev
, Sasko Ristov, Radu Prodan, Matija Dzanko, Ivana Bilic
:
Resilient IoT eHealth solutions in case of disasters. RNDM 2017: 1-7 - [c111]Matthias Janetschek, Radu Prodan:
A compiler transformation-based approach to scientific workflow enactment. WORKS@SC 2017: 4:1-4:11 - [c110]