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