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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
- 2024
- [j87]Ahmad Awan, Muhammad Aleem, Altaf Hussain
, Radu Prodan:
DFARM: a deadline-aware fault-tolerant scheduler for cloud computing. Clust. Comput. 27(7): 9323-9344 (2024) - [j86]Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
Cloud storage tier optimization through storage object classification. Computing 106(11): 3389-3418 (2024) - [j85]Zeinab Bakhshi, Guillermo Rodríguez-Navas, Hans Hansson, Radu Prodan:
Evaluation of Storage Placement in Computing Continuum for a Robotic Application. J. Grid Comput. 22(2): 55 (2024) - [j84]Fei Lin
, Qinghua Ni
, Jing Yang
, Juanjuan Li
, Nan Zheng
, Levente Kovács
, Radu Prodan
, Mariagrazia Dotoli
, Qing-Long Han
, Fei-Yue Wang
:
Securing the Future After PagerBombs: Lifecycle Protection of Smart Devices via Blockchain Intelligence. IEEE CAA J. Autom. Sinica 11(12): 2355-2358 (2024) - [j83]Dragi Kimovski
, Nishant Saurabh
, Matthijs Jansen
, Atakan Aral
, Auday Al-Dulaimy
, André B. Bondi, Antonino Galletta
, Alessandro V. Papadopoulos
, Alexandru Iosup
, Radu Prodan
:
Beyond Von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions. IEEE Internet Comput. 28(3): 6-16 (2024) - [j82]Auday Al-Dulaimy
, Matthijs Jansen, Bjarne Johansson, Animesh Trivedi, Alexandru Iosup, Mohammad Ashjaei, Antonino Galletta
, Dragi Kimovski, Radu Prodan
, Konstantinos Tserpes
, George Kousiouris, Chris Giannakos, Ivona Brandic, Nawfal Ali, André B. Bondi
, Alessandro V. Papadopoulos:
The computing continuum: From IoT to the cloud. Internet Things 27: 101272 (2024) - [j81]Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
Cost modelling and optimisation for cloud: a graph-based approach. J. Cloud Comput. 13(1): 147 (2024) - [j80]Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
Cloud storage cost: a taxonomy and survey. World Wide Web (WWW) 27(4): 36 (2024) - [c189]Reza Farahani, Narges Mehran, Sashko Ristov, Radu Prodan:
HEFTLess: A Bi-Objective Serverless Workflow Batch Orchestration on the Computing Continuum. CLUSTER 2024: 286-296 - [c188]Frank Loh, Gülnaziye Bingöl, Reza Farahani, Andrea Pimpinella, Radu Prodan, Luigi Atzori, Tobias Hoßfeld:
High Complexity and Bad Quality? Efficiency Assessment for Video QoE Prediction Approaches. CNSM 2024: 1-5 - [c187]Jeevan Chapagain, Mahmudul Islam Sajib, Radu Prodan, Vasile Rus:
A Study of LLM Generated Line-by-Line Explanations in the Context of Conversational Program Comprehension Tutoring Systems. EC-TEL (1) 2024: 64-74 - [c186]Zoha Azimi Ourimi, Amritha Premkumar, Reza Farahani, Vignesh V. Menon, Christian Timmerer, Radu Prodan:
Decoding Complexity-Aware Bitrate-Ladder Estimation for Adaptive VVC Streaming. EUSIPCO 2024: 942-946 - [c185]Armin Lachini
, Manuel Hoi
, Samira Afzal
, Sandro Linder
, Farzad Tashtarian
, Radu Prodan
, Christian Timmerer
:
VEEP: Video Encoding Energy and CO2 Emission Prediction. GMSys@MMSys 2024: 16-21 - [c184]Michael Cochez, Evgeny Kharlamov, Radu Prodan:
First International Workshop on Scaling Knowledge Graphs for Industry: Summary. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c183]Laurentiu Vasiliu, S. Haleh S. Dizaji, Aaron Eberhart, Dumitru Roman, Radu Prodan:
Modeling and Generating Extreme Volumes of Financial Synthetic Time-Series Data with Knowledge Graphs. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c182]Sashko Ristov
, Mika Hautz
, Philipp Gritsch, Stefan Nastic
, Radu Prodan
, Michael Felderer
:
StoreLess: Serverless Workflow Scheduling with Federated Storage in Sky Computing. ICSOC (2) 2024: 35-44 - [c181]Christian Bauer
, Samira Afzal
, Sandro Linder
, Radu Prodan
, Christian Timmerer
:
GREEM: An Open-Source Energy Measurement Tool for Video Processing. MMSys 2024: 264-270 - [c180]Sandro Linder
, Samira Afzal
, Christian Bauer
, Hadi Amirpour
, Radu Prodan
, Christian Timmerer
:
VEED: Video Encoding Energy and CO2 Emissions Dataset for AWS EC2 instances. MMSys 2024: 332-338 - [c179]Zoha Azimi Ourimi, Reza Farahani, Vignesh V. Menon, Christian Timmerer, Radu Prodan:
Towards ML-Driven Video Encoding Parameter Selection for Quality and Energy Optimization. QoMEX 2024: 80-83 - [c178]Petre Caraiani, Liviu-Adrian Cotfas, Flavius Cosmin Darie, Camelia Delcea, Carlos Angel Iglesias, Radu Prodan:
JobKG: A Knowledge Graph of the Romanian Job Market based on Natural Language Processing. RuleML+RR (Companion) 2024 - [c177]Laurentiu Vasiliu, Radu Prodan, Ahmet Soylu, Dumitru Roman:
An Integrated Approach Using Ontologies, Knowledge Graphs, Machine Learning, and Rules Models for Synthetic Financial Time Series Generation. RuleML+RR (Companion) 2024 - [c176]Alexandru Iosup
, Radu Prodan
, Ana Lucia Varbanescu
:
GraphSys-2024: 2nd Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems. ICPE (Companion) 2024: 95-96 - [c175]S. Haleh S. Dizaji
, Joze M. Rozanec
, Reza Farahani
, Dumitru Roman
, Radu Prodan
:
An Extensive Characterization of Graph Sampling Algorithms. ICPE (Companion) 2024: 135-140 - [c174]Reza Farahani
, Frank Loh
, Dumitru Roman
, Radu Prodan
:
Serverless Workflow Management on the Computing Continuum: A Mini-Survey. ICPE (Companion) 2024: 146-150 - [e6]Anisa Rula, Emanuel Sallinger, Ognjen Savkovic, Ioana Georgiana Ciuciu, Ioan Toma, Josiane Xavier Parreira, Radu Prodan, Hui Song, Ahmet Soylu:
Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) and 16th DecisionCAMP 2024 as part of Declarative AI 2024, Bucharest, Romania, September 16-18, 2024. CEUR Workshop Proceedings 3816, CEUR-WS.org 2024 [contents] - [d4]Narges Mehran
, Arman Haghighi
, Pedram Aminharati
, Nikolay Nikolov
, Ahmet Soylu
, Dumitru Roman
, Radu Prodan
:
A trace of microservice time and call rates. Zenodo, 2024 - [i18]Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan:
Comparison of Microservice Call Rate Predictions for Replication in the Cloud. CoRR abs/2401.03319 (2024) - [i17]Samira Afzal, Narges Mehran, Zoha Azimi Ourimi, Farzad Tashtarian, Hadi Amirpour, Radu Prodan, Christian Timmerer:
A Survey on Energy Consumption and Environmental Impact of Video Streaming. CoRR abs/2401.09854 (2024) - [i16]Narges Mehran, Dragi Kimovski, Hermann Hellwagner, Dumitru Roman, Ahmet Soylu, Radu Prodan:
Scheduling of Distributed Applications on the Computing Continuum: A Survey. CoRR abs/2405.00005 (2024) - [i15]Reza Farahani, Zoha Azimi Ourimi, Christian Timmerer, Radu Prodan:
Towards AI-Assisted Sustainable Adaptive Video Streaming Systems: Tutorial and Survey. CoRR abs/2406.02302 (2024) - 2023
- [j79]Gregor Molan, Gregor Dolinar, Jovan Bojkovski, Radu Prodan, Andrea Borghesi, Martin Molan:
Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product. IEEE Access 11: 115599-115616 (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) - [c173]Christian Bauer, Narges Mehran, Radu Prodan, Dragi Kimovski:
Machine Learning Based Resource Utilization Prediction in the Computing Continuum. CAMAD 2023: 219-224 - [c172]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 - [c171]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 - [c170]Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
Towards Cloud Storage Tier Optimization with Rule-Based Classification. ESOCC 2023: 205-216 - [c169]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 - [c168]Reza Farahani
, Sashko Ristov
, Radu Prodan
:
Designing a Sustainable Serverless Graph Processing Tool on the Computing Continuum. Euro-Par Workshops 2023: 210-214 - [c167]Samira Afzal
, Narges Mehran
, Sandro Linder
, Christian Timmerer, Radu Prodan:
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing Instances. GMSys@MMSys 2023: 1-6 - [c166]Reza Farahani, Abdelhak Bentaleb, Christian Timmerer, Mohammad Shojafar, Radu Prodan, Hermann Hellwagner:
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications. ICC 2023: 864-870 - [c165]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 - [c164]Zahra Najafabadi Samani
, Narges Mehran, Dragi Kimovski
, Radu Prodan:
Proactive SLA-aware Application Placement in the Computing Continuum. IPDPS 2023: 468-479 - [c163]Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
A Taxonomy for Cloud Storage Cost. MEDES 2023: 317-330 - [c162]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 - [c161]Narges Mehran
, Arman Haghighi
, Pedram Aminharati
, Nikolay Nikolov
, Ahmet Soylu, Dumitru Roman, Radu Prodan:
Comparison of Microservice Call Rate Predictions for Replication in the Cloud. UCC 2023: 51 - [c160]Narges Mehran
, Dragi Kimovski, Hermann Hellwagner
, Dumitru Roman, Ahmet Soylu, Radu Prodan:
Scheduling of Distributed Applications on the Computing Continuum: A Survey. UCC 2023: 54 - [c159]Alexandru Iosup, Radu Prodan:
ICPE'23 GraphSys Workshop Chairs Introduction (Welcome). ICPE (Companion) 2023: 207-208 - [c158]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 - [c157]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 - [c156]Sashko Ristov
, Reza Farahani
, Radu Prodan
:
Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaS. ICPE (Companion) 2023: 227-231 - [c155]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 - [c154]Laurentiu Alexandru Vasiliu
, Dumitru Roman
, Radu Prodan
:
Extreme and Sustainable Graph Processing for Green Finance Investment and Trading. ICPE (Companion) 2023: 249-250 - [d3]Narges Mehran
, Arman Haghighi, Pedram Aminharati
, Nikolay Nikolov
, Ahmet Soylu
, Dumitru Roman
, Radu Prodan
:
A trace of microservice time and call rates. Zenodo, 2023 - [i14]Amin Setayesh, Hamid Hadian, Radu Prodan:
An Efficient Online Prediction of Host Workloads Using Pruned GRU Neural Nets. CoRR abs/2303.16601 (2023) - [i13]Vignesh V. Menon, Samira Afzal, Prajit T. Rajendran, Klaus Schoeffmann, Radu Prodan, Christian Timmerer:
Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming. CoRR abs/2311.08074 (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) - [c153]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 - [c152]Sashko Ristov, Mika Hautz
, Christian Hollaus, Radu Prodan:
SimLess: simulate serverless workflows and their twins and siblings in federated FaaS. SoCC 2022: 323-339 - [c151]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 - [c150]Dragi Kimovski
, Christian Bauer, Narges Mehran, Radu Prodan:
Big Data Pipeline Scheduling and Adaptation on the Computing Continuum. COMPSAC 2022: 1153-1158 - [c149]Alexander Lercher, Nishant Saurabh
, Radu Prodan:
Context-aware Community Evolution Prediction in Online Social Networks. ISPA/BDCloud/SocialCom/SustainCom 2022: 182-189 - [c148]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 - [c147]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 - [c146]Kurt Horvath, Dragi Kimovski
, Christoph Uran, Radu Prodan, Helmut Wöllik:
Geofence-Based Service Discovery in the Computing Continuum. UCC 2022: 187-188 - [c145]Narges Mehran, Radu Prodan:
CNN-assisted Road Sign Inspection on the Computing Continuum. UCC 2022: 201-206 - [c144]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 - [c143]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 - [d2]Zahra Najafabadi Samani
, Narges Mehran
, Dragi Kimovski
, Josef Hammer
, Radu Prodan
:
Edge infrastructure traces. Zenodo, 2022 - [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) - [c142]Narges Mehran
, Dragi Kimovski
, Radu Prodan:
A Two-Sided Matching Model for Data Stream Processing in the Cloud - Fog Continuum. CCGRID 2021: 514-524 - [c141]Hamza Baniata, Dragi Kimovski, Radu Prodan, Attila Kertész:
Towards Blockchain-based Smart Systems. CERCIRAS 2021 - [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 - [d1]Pawan Kumar Verma
, Prateek Agrawal
, Radu Prodan
:
WELFake dataset for fake news detection in text data. Zenodo, 2021 - [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]Kirill Borodulin, Gleb I. Radchenko
, Aleksandr Shestakov, Leonid B. Sokolinsky
, Andrey Tchernykh, Radu Prodan:
Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rulea Smart Factory. UCC 2017: 209-210 - [e4]Radu Prodan, Florin Pop, Ralf-Peter Mundani:
16th International Symposium on Parallel and Distributed Computing, ISPDC 2017, Innsbruck, Austria, July 3-6, 2017. IEEE 2017, ISBN 978-1-5386-0862-3 [contents] - [e3]Florin Pop, Radu Prodan, Marc Frîncu:
Proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC@PODC 2017, Washington, DC, USA, July 28, 2017. ACM 2017, ISBN 978-1-4503-5116-4 [contents] - 2016
- [j40]Simon Ostermann, Gabor Kecskemeti
, Radu Prodan
:
Multi-layered simulations at the heart of workflow enactment on clouds. Concurr. Comput. Pract. Exp. 28(11): 3180-3201 (2016) - [j39]Hamid Arabnejad
, Jorge G. Barbosa
, Radu Prodan
:
Low-time complexity budget-deadline constrained workflow scheduling on heterogeneous resources. Future Gener. Comput. Syst. 55: 29-40 (2016) - [j38]Vincenzo De Maio
, Radu Prodan
, Shajulin Benedict
, Gabor Kecskemeti
:
Modelling energy consumption of network transfers and virtual machine migration. Future Gener. Comput. Syst. 56: 388-406 (2016) - [j37]Laura Ricci
, Alexandru Iosup
, Radu Prodan
:
Large scale distributed cooperative environments on clouds and P2P. Peer-to-Peer Netw. Appl. 9(6): 1126-1127 (2016) - [j36]Radu Prodan
, Alexandru Iosup
:
Operation analysis of massively multiplayer online games on unreliable resources. Peer-to-Peer Netw. Appl. 9(6): 1145-1161 (2016) - [j35]Dragi Kimovski
, Nishant Saurabh
, Vlado Stankovski
, Radu Prodan
:
Multi-objective Middleware for Distributed VMI Repositories in Federated Cloud Environment. Scalable Comput. Pract. Exp. 17(4): 299-312 (2016) - [c109]Vincenzo De Maio
, Gabor Kecskemeti
, Radu Prodan
:
An Improved Model for Live Migration in Data Centre Simulators. CCGrid 2016: 527-530 - [c108]Dana Petcu
, Maria Fazio, Radu Prodan, Zhiming Zhao, Massimiliano Rak
:
On the Next Generations of Infrastructure-as-a-Services. CLOSER (1) 2016: 320-326 - [c107]Dragi Kimovski
, Nishant Saurabh
, Sandi Gec, Polona Stefanic, Gabor Kecskemeti
, Vlado Stankovski
, Radu Prodan
, Thomas Fahringer
:
Towards an Environment for Efficient and Transparent Virtual Machine Operations: The ENTICE Approach. CloudNet 2016: 242-247 - [c106]Dragi Kimovski
, Nishant Saurabh
, Sandi Gec, Vlado Stankovski
, Radu Prodan
:
Multi-objective Optimization Framework for VMI Distribution in Federated Cloud Repositories. Euro-Par Workshops 2016: 236-247 - [c105]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. Euro-Par Workshops 2016: 260-271 - [c104]Sasko Ristov
, Radu Prodan
, Marjan Gusev
, Karolj Skala:
Superlinear Speedup in HPC Systems: why and when? FedCSIS 2016: 889-898 - [c103]Bonaventura Del Monte, Radu Prodan
:
A scalable GPU-enabled framework for training deep neural networks. ICGHPC 2016: 1-8 - [c102]Stefan M. Trenkwalder
, Yuri Kaszubowski Lopes
, Andreas Kolling, Anders Lyhne Christensen
, Radu Prodan
, Roderich Gross
:
OpenSwarm: An event-driven embedded operating system for miniature robots. IROS 2016: 4483-4490 - [c101]Sandi Gec, Dragi Kimovski
, Radu Prodan
, Vlado Stankovski
:
Using Constraint-Based Reasoning for Multi-objective Optimisation of the ENTICE Environment. SKG 2016: 17-24 - [c100]Hamid Mohammadi Fard, Sasko Ristov
, Radu Prodan
:
Handling the uncertainty in resource performance for executing workflow applications in clouds. UCC 2016: 89-98 - [c99]Vincenzo De Maio
, Gabor Kecskemeti
, Radu Prodan
:
An improved model for live migration in data centre simulators. UCC 2016: 108-117 - [e2]Florin Pop, Radu Prodan:
Proceedings of the Third International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC@PODC 2016, Chicago, IL, USA, July 25-28, 2016. ACM 2016, ISBN 978-1-4503-4227-8 [contents] - 2015
- [j34]Dana Petcu
, Gabriel Iuhasz
, Daniel Pop
, Domenico Talia, Jesús Carretero
, Radu Prodan
, Thomas Fahringer
, Ivan Grasso, Ramón Doallo, María J. Martín
, Basilio B. Fraguela
, Roman Trobec, Matjaz Depolli, Francisco Almeida Rodriguez, Francisco de Sande, Georges Da Costa
, Jean-Marc Pierson
, Stergios V. Anastasiadis
, Aristides Bartzokas, Christos Lolis, Pedro Gonçalves, Fabrice Brito, Nick Brown
:
On Processing Extreme Data. Scalable Comput. Pract. Exp. 16(4): 467-490 (2015) - [j33]Altino M. Sampaio
, Jorge G. Barbosa
, Radu Prodan
:
PIASA: A power and interference aware resource management strategy for heterogeneous workloads in cloud data centers. Simul. Model. Pract. Theory 57: 142-160 (2015) - [j32]Juan José Durillo, Radu Prodan
, Jorge G. Barbosa
:
Pareto tradeoff scheduling of workflows on federated commercial Clouds. Simul. Model. Pract. Theory 58: 95-111 (2015) - [j31]Jesús Carretero
, Javier García-Blas
, David E. Singh, Florin Isaila, Alexey L. Lastovetsky
, Thomas Fahringer
, Radu Prodan, Peter Zangerl, Christi Symeonidou, Afshin Fassihi, Horacio Pérez Sánchez:
Acceleration of MPI mechanisms for sustainable HPC applications. Supercomput. Front. Innov. 2(2): 28-45 (2015) - [c98]Vincenzo De Maio
, Gabor Kecskemeti
, Radu Prodan
:
A Workload-Aware Energy Model for Virtual Machine Migration. CLUSTER 2015: 274-283 - [c97]Shajulin Benedict
, R. S. Rejitha, Philipp Gschwandtner
, Radu Prodan
, Thomas Fahringer
:
Energy Prediction of OpenMP Applications Using Random Forest Modeling Approach. IPDPS Workshops 2015: 1251-1260 - [c96]Matthias Janetschek, Radu Prodan
, Shajulin Benedict
:
A workflow runtime environment for manycore parallel architectures. WORKS@SC 2015: 1:1-1:12 - 2014
- [j30]Juan José Durillo
, Radu Prodan
:
Multi-objective workflow scheduling in Amazon EC2. Clust. Comput. 17(2): 169-189 (2014) - [j29]Rubing Duan, Radu Prodan
, Xiaorong Li
:
A sequential cooperative game theoretic approach to scheduling multiple large-scale applications in grids. Future Gener. Comput. Syst. 30: 27-43 (2014) - [j28]Juan José Durillo
, Vlad Nae, Radu Prodan
:
Multi-objective energy-efficient workflow scheduling using list-based heuristics. Future Gener. Comput. Syst. 36: 221-236 (2014) - [j27]Hamid Mohammadi Fard, Radu Prodan
, Thomas Fahringer
:
Multi-objective list scheduling of workflow applications in distributed computing infrastructures. J. Parallel Distributed Comput. 74(3): 2152-2165 (2014) - [j26]Vlad Nae, Radu Prodan
, Alexandru Iosup
:
SLA-based operations of massively multiplayer online games in clouds. Multim. Syst. 20(5): 521-544 (2014) - [j25]Gabor Kecskemeti
, Simon Ostermann
, Radu Prodan
:
An architecture to stimulate behavioral development of academic cloud users. Sustain. Comput. Informatics Syst. 4(2): 136-150 (2014) - [j24]Rubing Duan, Radu Prodan
, Xiaorong Li
:
Multi-Objective Game Theoretic Schedulingof Bag-of-Tasks Workflows on Hybrid Clouds. IEEE Trans. Cloud Comput. 2(1): 29-42 (2014) - [c95]Radu Prodan
, Ioan Nascu:
Identifying patterns for human activities of daily living in smart homes. AQTR 2014: 1-5 - [c94]Rubing Duan, Radu Prodan
:
Cooperative Scheduling of Bag-of-Tasks Workflows on Hybrid Clouds. CloudCom 2014: 439-446 - [c93]Simon Ostermann, Radu Prodan
, Felix Schüller
, Georg J. Mayr
:
Meteorological applications utilizing Grid and Cloud computing. CloudNet 2014: 33-39 - [c92]Simon Ostermann, Gabor Kecskemeti
, Radu Prodan
:
Fostering energy-awareness in scientific cloud users. CloudNet 2014: 149-154 - [c91]Radu Prodan, Alexandru Iosup
, Cristian Bologa:
Comparison of Static and Dynamic Resource Allocations for Massively Multiplayer Online Games on Unreliable Resources. Euro-Par Workshops (1) 2014: 299-310 - [c90]Juan José Durillo, Radu Prodan
:
Workflow Scheduling on Federated Clouds. Euro-Par 2014: 318-329 - [c89]Alexandru Iosup
, Siqi Shen, Yong Guo, Stefan Hugtenburg, Jesse Donkervliet, Radu Prodan
:
Massivizing online games using cloud computing: A vision. ICME Workshops 2014: 1-4 - [c88]Jesús Carretero
, Javier García Blas
, David E. Singh, Florin Isaila, Thomas Fahringer
, Radu Prodan
, George Bosilca, Alexey L. Lastovetsky
, Christi Symeonidou, Horacio Emilio Pérez Sánchez
, José M. Cecilia:
Optimizations to enhance sustainability of MPI applications. EuroMPI/ASIA 2014: 145 - [c87]Vincenzo De Maio
, Vlad Nae, Radu Prodan
:
Evaluating Energy Efficiency of Gigabit Ethernet and Infiniband Software Stacks in Data Centres. UCC 2014: 21-28 - [c86]Gabor Kecskemeti
, Simon Ostermann, Radu Prodan
:
Fostering Energy-Awareness in Simulations behind Scientific Workflow Management Systems. UCC 2014: 29-38 - [p4]Alexandru Iosup
, Radu Prodan, Dick H. J. Epema:
IaaS Cloud Benchmarking: Approaches, Challenges, and Experience. Cloud Computing for Data-Intensive Applications 2014: 83-104 - 2013
- [j23]Radu Prodan
, Michael Sperk:
Scientific computing with Google App Engine. Future Gener. Comput. Syst. 29(7): 1851-1859 (2013) - [j22]Kassian Plankensteiner, Radu Prodan
, Matthias Janetschek, Thomas Fahringer
, Johan Montagnat, David Rogers, Ian Harvey, Ian J. Taylor
, Ákos Balaskó, Péter Kacsuk:
Fine-Grain Interoperability of Scientific Workflows in Distributed Computing Infrastructures. J. Grid Comput. 11(3): 429-455 (2013) - [j21]Hamid Mohammadi Fard, Radu Prodan
, Thomas Fahringer
:
A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments. IEEE Trans. Parallel Distributed Syst. 24(6): 1203-1212 (2013) - [c85]Vlad Nae, Lukas Köpfle, Radu Prodan
, Alexandru Iosup
:
Autonomous massively multiplayer online game operation on unreliable resources. C3S2E 2013: 95-103 - [c84]Vlad Nae, Radu Prodan
, Alexandru Iosup
:
SLA-based operation of massively multiplayer online games in competition-based environments. C3S2E 2013: 104-112 - [c83]Vlad Nae, Radu Prodan
, Alexandru Iosup
:
Autonomic operation of massively multiplayer online games in clouds. CAC 2013: 10:1-10:10 - [c82]Juan José Durillo
, Vlad Nae, Radu Prodan
:
Multi-objective Workflow Scheduling: An Analysis of the Energy Efficiency and Makespan Tradeoff. CCGRID 2013: 203-210 - [c81]Hamid Mohammadi Fard, Thomas Fahringer
, Radu Prodan
:
Budget-Constrained Resource Provisioning for Scientific Applications in Clouds. CloudCom (1) 2013: 315-322 - [c80]Matthias Janetschek, Simon Ostermann
, Radu Prodan
:
Bringing Scientific Workflows to Amazon SWF. EUROMICRO-SEAA 2013: 389-396 - [c79]Erwin Laure, Odej Kao, Rosa M. Badia
, Laurent Lefèvre, Beniamino Di Martino
, Radu Prodan
, Matteo Turilli
, Daniel Warneke:
Topic 6: Grid, Cluster and Cloud Computing - (Introduction). Euro-Par 2013: 241 - [c78]Juan José Durillo, Radu Prodan
, Weicheng Huang:
Workflow Scheduling in Amazon EC2. Euro-Par Workshops 2013: 374-383 - [c77]Simon Ostermann
, Thomas S. Eiter, Vlad Nae, Radu Prodan
:
A framework for region-based instrumentation of energy consumption of program executions. IECON 2013: 4715-4720 - [c76]Muhammad Junaid Malik, Thomas Fahringer
, Radu Prodan
:
Execution time prediction for grid infrastructures based on runtime provenance data. WORKS@SC 2013: 48-57 - 2012
- [j20]Radu Prodan
, Michael Sperk, Simon Ostermann
:
Evaluating High-Performance Computing on Google App Engine. IEEE Softw. 29(2): 52-58 (2012) - [j19]Kassian Plankensteiner, Radu Prodan
:
Meeting Soft Deadlines in Scientific Workflows Using Resubmission Impact. IEEE Trans. Parallel Distributed Syst. 23(5): 890-901 (2012) - [c75]Hamid Mohammadi Fard, Radu Prodan
, Juan Jose Durillo Barrionuevo, Thomas Fahringer
:
A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments. CCGRID 2012: 300-309 - [c74]Juan Jose Durillo Barrionuevo
, Hamid Mohammadi Fard, Radu Prodan
:
MOHEFT: A multi-objective list-based method for workflow scheduling. CloudCom 2012: 185-192 - [c73]Simone Pellegrini, Radu Prodan
, Thomas Fahringer
:
Tuning MPI Runtime Parameter Setting for High Performance Computing. CLUSTER Workshops 2012: 213-221 - [c72]Gabriela Andreea Morar, Felix Schüller
, Simon Ostermann
, Radu Prodan
, Georg J. Mayr
:
Meteorological Simulations in the Cloud with the ASKALON Environment. Euro-Par Workshops 2012: 68-78 - [c71]Simon Ostermann
, Radu Prodan
:
Impact of Variable Priced Cloud Resources on Scientific Workflow Scheduling. Euro-Par 2012: 350-362 - [c70]Rubing Duan, Radu Prodan
, Xiaorong Li:
A Sequential Cooperative Game Theoretic Approach to Storage-Aware Scheduling of Multiple Large-Scale Workflow Applications in Grids. GRID 2012: 31-39 - [c69]Muhammad Aleem
, Radu Prodan
, Thomas Fahringer
:
The JavaSymphony Extensions for Parallel GPU Computing. ICPP 2012: 30-39 - [c68]Vlad Nae, Lukas Köpfle, Radu Prodan
, Alexandru Iosup
:
Massively Multiplayer Online Games on unreliable resources. NetGames 2012: 1-2 - [c67]Simone Pellegrini, Radu Prodan
, Thomas Fahringer
:
A Lightweight C++ Interface to MPI. PDP 2012: 3-10 - 2011
- [j18]Radu Prodan
, Marek Wieczorek, Hamid Mohammadi Fard:
Double Auction-based Scheduling of Scientific Applications in Distributed Grid and Cloud Environments. J. Grid Comput. 9(4): 531-548 (2011) - [j17]Vlad Nae, Radu Prodan, Alexandru Iosup, Thomas Fahringer:
A new business model for massively multiplayer online games (abstracts only). SIGMETRICS Perform. Evaluation Rev. 39(3): 17 (2011) - [j16]Simon Ostermann, Kassian Plankensteiner, Radu Prodan
:
Using a new event-based simulation framework for investigating resource provisioning in Clouds. Sci. Program. 19(2-3): 161-178 (2011) - [j15]Vlad Nae, Alexandru Iosup
, Radu Prodan
:
Dynamic Resource Provisioning in Massively Multiplayer Online Games. IEEE Trans. Parallel Distributed Syst. 22(3): 380-395 (2011) - [j14]Alexandru Iosup
, Simon Ostermann, Nezih Yigitbasi, Radu Prodan
, Thomas Fahringer
, Dick H. J. Epema:
Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing. IEEE Trans. Parallel Distributed Syst. 22(6): 931-945 (2011) - [c66]Hamid Mohammadi Fard, Radu Prodan
, Georg Moser
, Thomas Fahringer
:
A Bi-Criteria Truthful Mechanism for Scheduling of Workflows in Clouds. CloudCom 2011: 599-605 - [c65]Philipp Gschwandtner
, Thomas Fahringer
, Radu Prodan
:
Performance Analysis and Benchmarking of the Intel SCC. CLUSTER 2011: 139-149 - [c64]Muhammad Aleem
, Radu Prodan
, Thomas Fahringer
:
Scheduling JavaSymphony Applications on Many-Core Parallel Computers. Euro-Par (1) 2011: 167-179 - [c63]Muhammad Junaid Malik, Thomas Fahringer
, Radu Prodan:
Semi-automatic Composition of Ontologies for ASKALON Grid Workflows. Euro-Par Workshops (1) 2011: 169-180 - [c62]Simone Pellegrini, Radu Prodan
, Thomas Fahringer
:
Leveraging C++ Meta-programming Capabilities to Simplify the Message Passing Programming Model. EuroMPI 2011: 302-311 - [c61]Kassian Plankensteiner, Johan Montagnat, Radu Prodan
:
IWIR: a language enabling portability across grid workflow systems. WORKS@SC 2011: 97-106 - [c60]Simon Ostermann
, Kassian Plankensteiner, Daniel Bodner, Georg Kraler, Radu Prodan
:
Integration of an Event-Based Simulation Framework into a Scientific Workflow Execution Environment for Grids and Clouds. ServiceWave 2011: 1-13 - [c59]Vlad Nae, Radu Prodan
, Alexandru Iosup
, Thomas Fahringer
:
A new business model for massively multiplayer online games. ICPE 2011: 271-282 - 2010
- [j13]Radu Prodan
, Marek Wieczorek:
Negotiation-Based Scheduling of Scientific Grid Workflows Through Advance Reservations. J. Grid Comput. 8(4): 493-510 (2010) - [j12]Alexandru Iosup
, Vlad Nae, Radu Prodan
:
The impact of virtualisation on the performance and operational costs of Massively Multiplayer Online Games. Int. J. Adv. Media Commun. 4(4): 364-386 (2010) - [j11]Radu Prodan
, Marek Wieczorek:
Bi-Criteria Scheduling of Scientific Grid Workflows. IEEE Trans Autom. Sci. Eng. 7(2): 364-376 (2010) - [c58]Herbert Jordan, Radu Prodan
, Vlad Nae, Thomas Fahringer
:
Dynamic load management for MMOGs in distributed environments. Conf. Computing Frontiers 2010: 337-346 - [c57]Muhammad Aleem
, Radu Prodan
, Thomas Fahringer
:
On the Evaluation of JavaSymphony for Heterogeneous Multi-core Clusters. Euro-Par Workshops 2010: 23-30 - [c56]Muhammad Aleem
, Radu Prodan
, Thomas Fahringer
:
JavaSymphony: A Programming and Execution Environment for Parallel and Distributed Many-Core Architectures. Euro-Par (2) 2010: 139-150 - [c55]Simon Ostermann
, Kassian Plankensteiner, Radu Prodan
, Thomas Fahringer
:
GroudSim: An Event-Based Simulation Framework for Computational Grids and Clouds. Euro-Par Workshops 2010: 305-313 - [c54]Kassian Plankensteiner, Radu Prodan
, Thomas Fahringer
:
Scheduling Scientific Workflows to Meet Soft Deadlines in the Absence of Failure Models. Euro-Par (1) 2010: 367-378 - [c53]Vlad Nae, Radu Prodan
, Thomas Fahringer
:
Cost-efficient hosting and load balancing of Massively Multiplayer Online Games. GRID 2010: 9-16 - [c52]Simon Ostermann
, Radu Prodan
, Thomas Fahringer
:
Dynamic Cloud provisioning for scientific Grid workflows. GRID 2010: 97-104 - [p3]Simon Ostermann
, Radu Prodan, Thomas Fahringer:
Resource Management for Hybrid Grid and Cloud Computing. Cloud Computing 2010: 179-194 - [e1]Hai-Xiang Lin, Michael Alexander, Martti Forsell, Andreas Knüpfer, Radu Prodan, Leonel Sousa, Achim Streit:
Euro-Par 2009 - Parallel Processing Workshops, HPPC, HeteroPar, PROPER, ROIA, UNICORE, VHPC, Delft, The Netherlands, August 25-28, 2009, Revised Selected Papers. Lecture Notes in Computer Science 6043, Springer 2010, ISBN 978-3-642-14121-8 [contents] - [i1]Radu Prodan, Vlad Nae, Thomas Fahringer:
Online Gaming in the Cloud. ERCIM News 2010(83): 47-48 (2010)
2000 – 2009
- 2009
- [j10]Marek Wieczorek, Andreas Hoheisel, Radu Prodan
:
Towards a general model of the multi-criteria workflow scheduling on the grid. Future Gener. Comput. Syst. 25(3): 237-256 (2009) - [j9]Radu Prodan
, Vlad Nae:
Prediction-based real-time resource provisioning for massively multiplayer online games. Future Gener. Comput. Syst. 25(7): 785-793 (2009) - [c51]Rubing Duan, Farrukh Nadeem
, Jie Wang, Yun Zhang, Radu Prodan
, Thomas Fahringer
:
A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids. CCGRID 2009: 339-347 - [c50]Simon Ostermann
, Alexandru Iosup
, Nezih Yigitbasi, Radu Prodan
, Thomas Fahringer
, Dick H. J. Epema:
A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing. CloudComp 2009: 115-131 - [c49]Kassian Plankensteiner, Radu Prodan
, Thomas Fahringer
:
A New Fault Tolerance Heuristic for Scientific Workflows in Highly Distributed Environments Based on Resubmission Impact. eScience 2009: 313-320 - [c48]Radu Prodan
:
Preface. Euro-Par Workshops 2009: 241-243 - [c47]Vlad Nae, Radu Prodan
, Thomas Fahringer
:
Monitoring and Fault Tolerance for Real-Time Online Interactive Applications. Euro-Par Workshops 2009: 255-265 - [c46]Radu Prodan
, Simon Ostermann:
A survey and taxonomy of infrastructure as a service and web hosting cloud providers. GRID 2009: 17-25 - [c45]Simon Ostermann
, Radu Prodan
, Thomas Fahringer
:
Extending Grids with cloud resource management for scientific computing. GRID 2009: 42-49 - [c44]Radu Prodan
, Simon Ostermann, Kassian Plankensteiner:
Performance analysis of Grid applications in the ASKALON environment. GRID 2009: 97-104 - [c43]Jun Qin, Thomas Fahringer
, Radu Prodan
:
A novel graph based approach for automatic composition of high quality grid workflows. HPDC 2009: 167-176 - [c42]Vlad Nae, Radu Prodan
, Thomas Fahringer
, Alexandru Iosup
:
The impact of virtualization on the performance of Massively Multiplayer Online Games. NETGAMES 2009: 1-6 - [c41]Radu Prodan
, Vlad Nae, Thomas Fahringer
, Herbert Jordan:
Dynamic Real-Time Resource Provisioning for Massively Multiplayer Online Games. PaCT 2009: 98-111 - 2008
- [j8]Radu Prodan
, Thomas Fahringer
:
Overhead Analysis of Scientific Workflows in Grid Environments. IEEE Trans. Parallel Distributed Syst. 19(3): 378-393 (2008) - [c40]Marek Wieczorek, Stefan Podlipnig, Radu Prodan
, Thomas Fahringer
:
Bi-criteria Scheduling of Scientific Workflows for the Grid. CCGRID 2008: 9-16 - [c39]Farrukh Nadeem
, Radu Prodan
, Thomas Fahringer
:
Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid. CCGRID 2008: 348-357 - [c38]Simon Ostermann
, Kassian Plankensteiner, Radu Prodan, Thomas Fahringer, Alexandru Iosup
:
Workflow Monitoring and Analysis Tool for ASKALON. CoreGRID Workshop on Grid Middleware 2008: 1-14 - [c37]Kassian Plankensteiner, Radu Prodan, Thomas Fahringer, Attila Kertész, Péter Kacsuk:
Fault Detection, Prevention and Recovery in Current Grid Workflow Systems. CoreGRID Workshop on Grid Middleware 2008: 1-13 - [c36]Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Alexandru Iosup
:
A Framework For Resource Availability Characterization And Online Prediction In The Grids. CoreGRID Integration Workshop 2008: 209-224 - [c35]Radu Prodan, Vlad Nae, Thomas Fahringer, Sergei Gorlatch, Frank Glinka, Alexander Ploß, Jens Müller-Iden:
A Grid Environment For Real-Time Multiplayer Online Games. CoreGRID Integration Workshop 2008: 225-236 - [c34]Vlad Nae, Radu Prodan
, Thomas Fahringer
:
Neural Network-Based Load Prediction for Highly Dynamic Distributed Online Games. Euro-Par 2008: 202-211 - [c33]Vlad Nae, Herbert Jordan, Radu Prodan
, Thomas Fahringer
:
An Information System for Real-Time Online Interactive Applications. Euro-Par Workshops 2008: 361-370 - [c32]Sergei Gorlatch, Frank Glinka, Alexander Ploss, Jens Müller-Iden, Radu Prodan
, Vlad Nae, Thomas Fahringer
:
Enhancing Grids for Massively Multiplayer Online Computer Games. Euro-Par 2008: 466-477 - [c31]Justin Ferris, Mike Surridge, Ellis Rowland Watkins, Thomas Fahringer
, Radu Prodan
, Frank Glinka, Sergei Gorlatch, Christoph Anthes
, Alexis Arragon, Christopher J. Rawlings, Arton Lipaj:
Edutain@Grid: A Business Grid Infrastructure for Real-Time On-Line Interactive Applications. GECON 2008: 152-162 - [c30]Vlad Nae, Alexandru Iosup
, Stefan Podlipnig, Radu Prodan
, Dick H. J. Epema, Thomas Fahringer
:
Efficient management of data center resources for massively multiplayer online games. SC 2008: 10 - [c29]Marek Wieczorek, Stefan Podlipnig, Radu Prodan
, Thomas Fahringer
:
Applying double auctions for scheduling of workflows on the Grid. SC 2008: 27 - [p2]Radu Prodan:
Clusters and Grids. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [b1]Radu Prodan, Thomas Fahringer:
Grid Computing, Experiment Management, Tool Integration, and Scientific Workflows. Lecture Notes in Computer Science 4340, Springer 2007, ISBN 978-3-540-69261-4 - [j7]Radu Prodan
:
Specification-correct and scalable coordination of Grid applications. Future Gener. Comput. Syst. 23(4): 587-605 (2007) - [c28]Radu Prodan
:
Specification-correct and Scalable Coordination of Scientific Applications in Grid Environments. CCGRID 2007: 371-380 - [c27]Radu Prodan
:
Online Analysis and Runtime Steering of Dynamic Workflows in the ASKALON Grid Environment. CCGRID 2007: 389-400 - [c26]Thomas Fahringer
, Christoph Anthes
, Alexis Arragon, Arton Lipaj, Jens Müller-Iden, Christopher J. Rawlings, Radu Prodan, Mike Surridge:
The edutain@grid Project. GECON 2007: 182-187 - [c25]Farrukh Nadeem, Radu Prodan, Thomas Fahringer
:
Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid. HPCC 2007: 309-321 - [c24]Rubing Duan, Radu Prodan
, Thomas Fahringer
:
Performance and cost optimization for multiple large-scale grid workflow applications. SC 2007: 12 - [p1]Thomas Fahringer
, Radu Prodan
, Rubing Duan, Jürgen Hofer, Farrukh Nadeem
, Francesco Nerieri, Stefan Podlipnig, Jun Qin, Mumtaz Siddiqui, Hong Linh Truong, Alex Villazón
, Marek Wieczorek:
ASKALON: A Development and Grid Computing Environment for Scientific Workflows. Workflows for e-Science, Scientific Workflows for Grids 2007: 450-471 - 2006
- [c23]Francesco Nerieri, Radu Prodan
, Thomas Fahringer
:
Kalipy: A Tool for Online Performance Analysis of Grid Workflows through Event Correlation. e-Science 2006: 18 - [c22]Farrukh Nadeem
, Muhammad Murtaza Yousaf, Radu Prodan
, Thomas Fahringer
:
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set. e-Science 2006: 71 - [c21]Marek Wieczorek, Mumtaz Siddiqui, Alex Villazón
, Radu Prodan
, Thomas Fahringer
:
Applying Advance Reservation to Increase Predictability of Workflow Execution on the Grid. e-Science 2006: 82 - [c20]Francesco Nerieri, Radu Prodan
, Thomas Fahringer
, Hong Linh Truong
:
Overhead Analysis of Grid Workflow Applications. GRID 2006: 17-24 - [c19]Rubing Duan, Radu Prodan, Thomas Fahringer:
Run-time Optimisation of Grid Workflow Applications. GRID 2006: 33-40 - [c18]Rubing Duan, Radu Prodan, Thomas Fahringer:
Data Mining-based Fault Prediction and Detection on the Grid. HPDC 2006: 305-308 - [c17]Marek Wieczorek, Radu Prodan, Thomas Fahringer:
Dynamic Programming Based Approach for Bi-criteria Workflow Scheduling on the Grid. HPDC 2006: 381-382 - 2005
- [j6]Thomas Fahringer
, Alexandru Jugravu, Sabri Pllana, Radu Prodan
, Clovis Seragiotto Jr., Hong Linh Truong
:
ASKALON: a tool set for cluster and Grid computing. Concurr. Pract. Exp. 17(2-4): 143-169 (2005) - [j5]Radu Prodan, Thomas Fahringer
:
ZEN: a directive based experiment specification language for performance and parameter studies of parallel scientific applications. Int. J. High Perform. Comput. Netw. 3(2/3): 103-121 (2005) - [j4]Marek Wieczorek, Radu Prodan, Thomas Fahringer:
Scheduling of scientific workflows in the ASKALON grid environment. SIGMOD Rec. 34(3): 56-62 (2005) - [c16]Rubing Duan, Thomas Fahringer, Radu Prodan, Jun Qin, Alex Villazón
, Marek Wieczorek:
Real World Workflow Applications in the Askalon Grid Environment. EGC 2005: 454-463 - [c15]Radu Prodan, Thomas Fahringer:
Optimising Parallel Applications on the Grid Using Irregular Array Distributions. EGC 2005: 527-537 - [c14]Thomas Fahringer
, Radu Prodan
, Rubing Duan, Francesco Nerieri, Stefan Podlipnig, Jun Qin, Mumtaz Siddiqui, Hong Linh Truong, Alex Villazón
, Marek Wieczorek:
ASKALON: a Grid application development and computing environment. GRID 2005: 122-131 - [c13]Rubing Duan, Radu Prodan
, Thomas Fahringer
:
DEE: A Distributed Fault Tolerant Workflow Enactment Engine for Grid Computing. HPCC 2005: 704-716 - [c12]Marek Wieczorek, Radu Prodan
, Thomas Fahringer
:
Comparison of Workflow Scheduling Strategies on the Grid. PPAM 2005: 792-800 - [c11]Radu Prodan
, Thomas Fahringer
:
Dynamic scheduling of scientific workflow applications on the grid: a case study. SAC 2005: 687-694 - 2004
- [j3]Radu Prodan
, Thomas Fahringer:
ZENTURIO: A Grid Service-Based Tool for Optimising Parallel and Grid Applications. J. Grid Comput. 2(1): 15-29 (2004) - [j2]Radu Prodan
, Thomas Fahringer:
ZENTURIO: a grid middleware-based tool for experiment management of parallel and distributed applications. J. Parallel Distributed Comput. 64(6): 693-707 (2004) - [c10]Radu Prodan, Andreas Bonelli, Andreas Adelmann, Thomas Fahringer, Christoph W. Überhuber:
Benchmarking Parallel Three Dimensional FFT Kernels with ZENTURIO. International Conference on Computational Science 2004: 459-466 - 2003
- [c9]Radu Prodan
, Thomas Fahringer:
From Web Services to OGSA: Experiences in Implementing an OGSA-based Grid Application. GRID 2003: 2-9 - [c8]Radu Prodan
, Thomas Fahringer:
A Web Service-Based Experiment Management System for the Grid. IPDPS 2003: 85 - [c7]Radu Prodan
, Thomas Fahringer, Michael Geissler, Georg Madsen, Franz Franchetti, Hans Moritsch:
On Using ZENTURIO for Performance and Parameter Studies on Cluster and Grid Architectures. PDP 2003: 185-192 - 2002
- [c6]Radu Prodan
, Thomas Fahringer:
ZENTURIO: An Experiment Management System for Cluster and Grid Computing. CLUSTER 2002: 9-18 - [c5]Augustin Prodan, Radu Prodan:
A Collection of Java Class Libraries for Stochastic Modeling and Simulation. International Conference on Computational Science (1) 2002: 1040-1048 - [c4]Radu Prodan
, Thomas Fahringer:
ZEN: A Directive-Based Language for Automatic Experiment Management of Distributed and Parallel Programs. ICPP 2002: 93-100 - 2001
- [j1]John M. Kewley, Radu Prodan:
The FIRST Framework for Interoperable Run-time Software Tools. Parallel Distributed Comput. Pract. 4(3) (2001) - 2000
- [c3]Radu Prodan, John M. Kewley:
A Framework for an Interoperable Tool Environment (Research Note). Euro-Par 2000: 65-69 - [c2]John M. Kewley, Radu Prodan
:
A Distributed Object-Oriented Framework for Tool Development. TOOLS (34) 2000: 353-362
1990 – 1999
- 1999
- [c1]Radu Prodan, John M. Kewley:
FIRST: A Framework for Interoperable Resources, Services, and Tools. PDPTA 1999: 1790-1796
Coauthor Index
aka: Juan Jose Durillo Barrionuevo
aka: Sashko Ristov
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