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ORCIDRadu 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
- 2025
[c194]Zoha Azimi Ourimi
, Reza Farahani, Christian Timmerer, Radu Prodan:
Towards an Energy-Efficient Video Processing Tool with LLMs. MHV 2025: 89-90- [c193]Narges Mehran, Zahra Najafabadi Samani, Samira Afzal, Radu Prodan, Frank Pallas, Peter Dorfinger:
PreMatch: A Prediction-based Scheduler for Dataflow Asynchronous Processing on the Computing Continuum. SAC 2025: 316-324 - [c192]Reza Farahani, Radu Prodan:
Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions. ICPE (Companion) 2025: 59 - [i20]Kurt Horvath, Dragi Kimovski, Stojan Kitanov, Radu Prodan:
Enhancing Traffic Safety with AI and 6G: Latency Requirements and Real-Time Threat Detection. CoRR abs/2503.24143 (2025) - [i19]Narges Mehran, Nikolay Nikolov, Radu Prodan, Dumitru Roman, Dragi Kimovski, Frank Pallas, Peter Dorfinger:
ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction. CoRR abs/2504.03698 (2025) - 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) - [c191]Reza Farahani, Narges Mehran, Sashko Ristov, Radu Prodan:
HEFTLess: A Bi-Objective Serverless Workflow Batch Orchestration on the Computing Continuum. CLUSTER 2024: 286-296 - [c190]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 - [c189]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 - [c188]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 - [c187]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 - [c186]S. Haleh S. Dizaji, Reza Farahani, Joze M. Rozanec, Dragi Kimovski, Ahmet Soylu, Radu Prodan:
Graph Sampling Quality Prediction for Algorithm Recommendation. HiPC 2024: 243-254 - [c185]Michael Cochez, Evgeny Kharlamov, Radu Prodan:
First International Workshop on Scaling Knowledge Graphs for Industry: Summary. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c184]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 - [c183]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 - [c182]Kurt Klaus Horvath, Dragi Kimovski, Bernd Spiess, Oliver Hohlfeld, Radu Prodan:
SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-Things Services. IoT 2024: 117-126 - [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] - [d5]Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan:
A trace of microservice time and call rates. Version 2.0. Zenodo, 2024 [all versions]
- [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 - [d4]Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan:
A trace of microservice time and call rates. Version 1. Zenodo, 2023 [all versions] - [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 - [d3]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 - [d2]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 - [d1]Narges Mehran, Dragi Kimovski, Zahra Najafabadi Samani, Nikolay Nikolov, Reza Farahani, Radu Prodan:
GTSRB - German Traffic Sign Recognition Benchmark by Real-Time Computer Vision at Ruhr-Universität Bochum. Zenodo, 2012 - 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
Juan José Durillo
aka: Juan Jose Durillo Barrionuevo
aka: Juan Jose Durillo Barrionuevo
[j63] [j55] [c113] [c107] [j34] [j31] [c97] [j27] [c88] [j22] [j21] [c81] [c76] [c75] [c73] [c69] [c67] [j17] [j14] [c66] [c65] [c64] [c63] [c62] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [p3] [i1] [c51] [c50] [c49] [c47] [c45] [c43] [c42] [c41] [j8] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [b1] [c26] [c25] [c24] [p1] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j6] [j5] [j4] [c16] [c15] [c14] [c13] [c12] [c11] [j3] [j2] [c10] [c9] [c8] [c7] [c6] [c4]
[i20] [i19] [j83] [j82] [c186] [c182] [i16] [j72] [c173] [c169] [c164] [c162] [c160] [c158] [c157] [j71] [j70] [j68] [c151] [c150] [c146] [d3] [i12] [j65] [j64] [j62] [j61] [c142] [c141] [c140] [c134] [i10] [i9] [i7] [c130] [c129] [j53] [j50] [c123] [c122] [i5] [i4] [i3] [j49] [c118] [i2] [c117] [c115] [c113] [j35] [c107] [c106] [c105] [c101] [d1]
Sashko Ristov
aka: Sasko Ristov
aka: Sasko Ristov
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