FIRST: A Framework for Interoperable Resources, Services, and Tools. - Radu Prodan; John M. Kewley (PDPTA, 1999)

A Framework for an Interoperable Tool Environment (Research Note). - Radu Prodan; John M. Kewley (Euro-Par, 2000)

A Distributed Object-Oriented Framework for Tool Development. - John M. Kewley; Radu Prodan (TOOLS (34), 2000)

The FIRST Framework for Interoperable Run-time Software Tools. - John M. Kewley; Radu Prodan (Parallel Distributed Comput. Pract., 2001)

ZENTURIO: An Experiment Management System for Cluster and Grid Computing. - Radu Prodan; Thomas Fahringer (CLUSTER, 2002)

A Collection of Java Class Libraries for Stochastic Modeling and Simulation. - Augustin Prodan; Radu Prodan (International Conference on Computational Science (1), 2002)

ZEN: A Directive-Based Language for Automatic Experiment Management of Distributed and Parallel Programs. - Radu Prodan; Thomas Fahringer (ICPP, 2002)

From Web Services to OGSA: Experiences in Implementing an OGSA-based Grid Application. - Radu Prodan; Thomas Fahringer (GRID, 2003)

A Web Service-Based Experiment Management System for the Grid. - Radu Prodan; Thomas Fahringer (IPDPS, 2003)

On Using ZENTURIO for Performance and Parameter Studies on Cluster and Grid Architectures. - Radu Prodan; Thomas Fahringer; Michael Geissler; Georg Madsen; Franz Franchetti; Hans Moritsch (PDP, 2003)

Benchmarking Parallel Three Dimensional FFT Kernels with ZENTURIO. - Radu Prodan; Andreas Bonelli; Andreas Adelmann; Thomas Fahringer; Christoph W. Überhuber (International Conference on Computational Science, 2004)

ZENTURIO: A Grid Service-Based Tool for Optimising Parallel and Grid Applications. - Radu Prodan; Thomas Fahringer (J. Grid Comput., 2004)

ZENTURIO: a grid middleware-based tool for experiment management of parallel and distributed applications. - Radu Prodan; Thomas Fahringer (J. Parallel Distributed Comput., 2004)

Real World Workflow Applications in the Askalon Grid Environment. - Rubing Duan; Thomas Fahringer; Radu Prodan; Jun Qin; Alex Villazón; Marek Wieczorek (EGC, 2005)

Optimising Parallel Applications on the Grid Using Irregular Array Distributions. - Radu Prodan; Thomas Fahringer (EGC, 2005)

ASKALON: a Grid application development and computing environment. - Thomas Fahringer; Radu Prodan; Rubing Duan; Francesco Nerieri; Stefan Podlipnig; Jun Qin; Mumtaz Siddiqui; Hong Linh Truong 001; Alex Villazón; Marek Wieczorek (GRID, 2005)

DEE: A Distributed Fault Tolerant Workflow Enactment Engine for Grid Computing. - Rubing Duan; Radu Prodan; Thomas Fahringer (HPCC, 2005)

Comparison of Workflow Scheduling Strategies on the Grid. - Marek Wieczorek; Radu Prodan; Thomas Fahringer (PPAM, 2005)

Dynamic scheduling of scientific workflow applications on the grid: a case study. - Radu Prodan; Thomas Fahringer (SAC, 2005)

ASKALON: a tool set for cluster and Grid computing. - Thomas Fahringer; Alexandru Jugravu; Sabri Pllana; Radu Prodan; Clovis Seragiotto Jr.; Hong Linh Truong 001 (Concurr. Pract. Exp., 2005)

ZEN: a directive based experiment specification language for performance and parameter studies of parallel scientific applications. - Radu Prodan; Thomas Fahringer (Int. J. High Perform. Comput. Netw., 2005)

Scheduling of scientific workflows in the ASKALON grid environment. - Marek Wieczorek; Radu Prodan; Thomas Fahringer (SIGMOD Rec., 2005)

Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set. - Farrukh Nadeem; Muhammad Murtaza Yousaf; Radu Prodan; Thomas Fahringer (e-Science, 2006)

Kalipy: A Tool for Online Performance Analysis of Grid Workflows through Event Correlation. - Francesco Nerieri; Radu Prodan; Thomas Fahringer (e-Science, 2006)

Applying Advance Reservation to Increase Predictability of Workflow Execution on the Grid. - Marek Wieczorek; Mumtaz Siddiqui; Alex Villazón; Radu Prodan; Thomas Fahringer (e-Science, 2006)

Run-time Optimisation of Grid Workflow Applications. - Rubing Duan; Radu Prodan; Thomas Fahringer (GRID, 2006)

Overhead Analysis of Grid Workflow Applications. - Francesco Nerieri; Radu Prodan; Thomas Fahringer; Hong Linh Truong 001 (GRID, 2006)

Data Mining-based Fault Prediction and Detection on the Grid. - Rubing Duan; Radu Prodan; Thomas Fahringer (HPDC, 2006)

Dynamic Programming Based Approach for Bi-criteria Workflow Scheduling on the Grid. - Marek Wieczorek; Radu Prodan; Thomas Fahringer (HPDC, 2006)

ASKALON: A Development and Grid Computing Environment for Scientific Workflows. - Thomas Fahringer; Radu Prodan; Rubing Duan; Jürgen Hofer; Farrukh Nadeem; Francesco Nerieri; Stefan Podlipnig; Jun Qin; Mumtaz Siddiqui; Hong Linh Truong 001; Alex Villazón; Marek Wieczorek (Workflows for e-Science, Scientific Workflows for Grids, 2007)

Grid Computing, Experiment Management, Tool Integration, and Scientific Workflows - Radu Prodan; Thomas Fahringer (Springer, 2007)

Specification-correct and Scalable Coordination of Scientific Applications in Grid Environments. - Radu Prodan (CCGRID, 2007)

Online Analysis and Runtime Steering of Dynamic Workflows in the ASKALON Grid Environment. - Radu Prodan (CCGRID, 2007)

The edutain@grid Project. - Thomas Fahringer; Christoph Anthes; Alexis Arragon; Arton Lipaj; Jens Müller-Iden; Christopher J. Rawlings; Radu Prodan; Mike Surridge (GECON, 2007)

Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid. - Farrukh Nadeem; Radu Prodan; Thomas Fahringer (HPCC, 2007)

Performance and cost optimization for multiple large-scale grid workflow applications. - Rubing Duan; Radu Prodan; Thomas Fahringer (SC, 2007)

Specification-correct and scalable coordination of Grid applications. - Radu Prodan (Future Gener. Comput. Syst., 2007)

Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid. - Farrukh Nadeem; Radu Prodan; Thomas Fahringer (CCGRID, 2008)

Bi-criteria Scheduling of Scientific Workflows for the Grid. - Marek Wieczorek; Stefan Podlipnig; Radu Prodan; Thomas Fahringer (CCGRID, 2008)

A Framework For Resource Availability Characterization And Online Prediction In The Grids. - Farrukh Nadeem; Radu Prodan; Thomas Fahringer; Alexandru Iosup (CoreGRID Integration Workshop, 2008)

Workflow Monitoring and Analysis Tool for ASKALON. - Simon Ostermann 001; Kassian Plankensteiner; Radu Prodan; Thomas Fahringer; Alexandru Iosup (CoreGRID Workshop on Grid Middleware, 2008)

Fault Detection, Prevention and Recovery in Current Grid Workflow Systems. - Kassian Plankensteiner; Radu Prodan; Thomas Fahringer; Attila Kertész; Péter Kacsuk (CoreGRID Workshop on Grid Middleware, 2008)

A Grid Environment For Real-Time Multiplayer Online Games. - Radu Prodan; Vlad Nae; Thomas Fahringer; Sergei Gorlatch; Frank Glinka; Alexander Ploß; Jens Müller-Iden (CoreGRID Integration Workshop, 2008)

Enhancing Grids for Massively Multiplayer Online Computer Games. - Sergei Gorlatch; Frank Glinka; Alexander Ploss; Jens Müller-Iden; Radu Prodan; Vlad Nae; Thomas Fahringer (Euro-Par, 2008)

An Information System for Real-Time Online Interactive Applications. - Vlad Nae; Herbert Jordan; Radu Prodan; Thomas Fahringer (Euro-Par Workshops, 2008)

Neural Network-Based Load Prediction for Highly Dynamic Distributed Online Games. - Vlad Nae; Radu Prodan; Thomas Fahringer (Euro-Par, 2008)

Edutain@Grid: A Business Grid Infrastructure for Real-Time On-Line Interactive Applications. - Justin Ferris; Mike Surridge; Ellis Rowland Watkins; Thomas Fahringer; Radu Prodan; Frank Glinka; Sergei Gorlatch; Christoph Anthes; Alexis Arragon; Christopher J. Rawlings; Arton Lipaj (GECON, 2008)

Efficient management of data center resources for massively multiplayer online games. - Vlad Nae; Alexandru Iosup; Stefan Podlipnig; Radu Prodan; Dick H. J. Epema; Thomas Fahringer (SC, 2008)

Applying double auctions for scheduling of workflows on the Grid. - Marek Wieczorek; Stefan Podlipnig; Radu Prodan; Thomas Fahringer (SC, 2008)

Overhead Analysis of Scientific Workflows in Grid Environments. - Radu Prodan; Thomas Fahringer (IEEE Trans. Parallel Distributed Syst., 2008)

Clusters and Grids. - Radu Prodan (Wiley Encyclopedia of Computer Science and Engineering, 2008)

A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids. - Rubing Duan; Farrukh Nadeem; Jie Wang; Yun Zhang; Radu Prodan; Thomas Fahringer (CCGRID, 2009)

A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing. - Simon Ostermann 001; Alexandru Iosup; Nezih Yigitbasi; Radu Prodan; Thomas Fahringer; Dick H. J. Epema (CloudComp, 2009)

A New Fault Tolerance Heuristic for Scientific Workflows in Highly Distributed Environments Based on Resubmission Impact. - Kassian Plankensteiner; Radu Prodan; Thomas Fahringer (eScience, 2009)

Monitoring and Fault Tolerance for Real-Time Online Interactive Applications. - Vlad Nae; Radu Prodan; Thomas Fahringer (Euro-Par Workshops, 2009)

Preface. - Radu Prodan (Euro-Par Workshops, 2009)

Extending Grids with cloud resource management for scientific computing. - Simon Ostermann 001; Radu Prodan; Thomas Fahringer (GRID, 2009)

A survey and taxonomy of infrastructure as a service and web hosting cloud providers. - Radu Prodan; Simon Ostermann 001 (GRID, 2009)

Performance analysis of Grid applications in the ASKALON environment. - Radu Prodan; Simon Ostermann 001; Kassian Plankensteiner (GRID, 2009)

A novel graph based approach for automatic composition of high quality grid workflows. - Jun Qin; Thomas Fahringer; Radu Prodan (HPDC, 2009)

The impact of virtualization on the performance of Massively Multiplayer Online Games. - Vlad Nae; Radu Prodan; Thomas Fahringer; Alexandru Iosup (NETGAMES, 2009)

Dynamic Real-Time Resource Provisioning for Massively Multiplayer Online Games. - Radu Prodan; Vlad Nae; Thomas Fahringer; Herbert Jordan (PaCT, 2009)

Prediction-based real-time resource provisioning for massively multiplayer online games. - Radu Prodan; Vlad Nae (Future Gener. Comput. Syst., 2009)

Towards a general model of the multi-criteria workflow scheduling on the grid. - Marek Wieczorek; Andreas Hoheisel; Radu Prodan (Future Gener. Comput. Syst., 2009)

Dynamic load management for MMOGs in distributed environments. - Herbert Jordan; Radu Prodan; Vlad Nae; Thomas Fahringer (Conf. Computing Frontiers, 2010)

JavaSymphony: A Programming and Execution Environment for Parallel and Distributed Many-Core Architectures. - Muhammad Aleem; Radu Prodan; Thomas Fahringer (Euro-Par (2), 2010)

On the Evaluation of JavaSymphony for Heterogeneous Multi-core Clusters. - Muhammad Aleem; Radu Prodan; Thomas Fahringer (Euro-Par Workshops, 2010)

GroudSim: An Event-Based Simulation Framework for Computational Grids and Clouds. - Simon Ostermann 001; Kassian Plankensteiner; Radu Prodan; Thomas Fahringer (Euro-Par Workshops, 2010)

Scheduling Scientific Workflows to Meet Soft Deadlines in the Absence of Failure Models. - Kassian Plankensteiner; Radu Prodan; Thomas Fahringer (Euro-Par (1), 2010)

Cost-efficient hosting and load balancing of Massively Multiplayer Online Games. - Vlad Nae; Radu Prodan; Thomas Fahringer (GRID, 2010)

Dynamic Cloud provisioning for scientific Grid workflows. - Simon Ostermann 001; Radu Prodan; Thomas Fahringer (GRID, 2010)

Online Gaming in the Cloud. - Radu Prodan; Vlad Nae; Thomas Fahringer (ERCIM News, 2010)

Negotiation-Based Scheduling of Scientific Grid Workflows Through Advance Reservations. - Radu Prodan; Marek Wieczorek (J. Grid Comput., 2010)

The impact of virtualisation on the performance and operational costs of Massively Multiplayer Online Games. - Alexandru Iosup; Vlad Nae; Radu Prodan (Int. J. Adv. Media Commun., 2010)

Bi-Criteria Scheduling of Scientific Grid Workflows. - Radu Prodan; Marek Wieczorek (IEEE Trans Autom. Sci. Eng., 2010)

Resource Management for Hybrid Grid and Cloud Computing. - Simon Ostermann 001; Radu Prodan; Thomas Fahringer (Cloud Computing, 2010)

A Bi-Criteria Truthful Mechanism for Scheduling of Workflows in Clouds. - Hamid Mohammadi Fard; Radu Prodan; Georg Moser; Thomas Fahringer (CloudCom, 2011)

Performance Analysis and Benchmarking of the Intel SCC. - Philipp Gschwandtner; Thomas Fahringer; Radu Prodan (CLUSTER, 2011)

Scheduling JavaSymphony Applications on Many-Core Parallel Computers. - Muhammad Aleem; Radu Prodan; Thomas Fahringer (Euro-Par (1), 2011)

Semi-automatic Composition of Ontologies for ASKALON Grid Workflows. - Muhammad Junaid Malik; Thomas Fahringer; Radu Prodan (Euro-Par Workshops (1), 2011)

Leveraging C++ Meta-programming Capabilities to Simplify the Message Passing Programming Model. - Simone Pellegrini; Radu Prodan; Thomas Fahringer (EuroMPI, 2011)

IWIR: a language enabling portability across grid workflow systems. - Kassian Plankensteiner; Johan Montagnat; Radu Prodan (WORKS@SC, 2011)

Integration of an Event-Based Simulation Framework into a Scientific Workflow Execution Environment for Grids and Clouds. - Simon Ostermann 001; Kassian Plankensteiner; Daniel Bodner; Georg Kraler; Radu Prodan (ServiceWave, 2011)

A new business model for massively multiplayer online games. - Vlad Nae; Radu Prodan; Alexandru Iosup; Thomas Fahringer (ICPE, 2011)

Double Auction-based Scheduling of Scientific Applications in Distributed Grid and Cloud Environments. - Radu Prodan; Marek Wieczorek; Hamid Mohammadi Fard (J. Grid Comput., 2011)

A new business model for massively multiplayer online games (abstracts only). - Vlad Nae; Radu Prodan; Alexandru Iosup; Thomas Fahringer (SIGMETRICS Perform. Evaluation Rev., 2011)

Using a new event-based simulation framework for investigating resource provisioning in Clouds. - Simon Ostermann 001; Kassian Plankensteiner; Radu Prodan (Sci. Program., 2011)

Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing. - Alexandru Iosup; Simon Ostermann 001; Nezih Yigitbasi; Radu Prodan; Thomas Fahringer; Dick H. J. Epema (IEEE Trans. Parallel Distributed Syst., 2011)

Dynamic Resource Provisioning in Massively Multiplayer Online Games. - Vlad Nae; Alexandru Iosup; Radu Prodan (IEEE Trans. Parallel Distributed Syst., 2011)

A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments. - Hamid Mohammadi Fard; Radu Prodan; Juan Jose Durillo Barrionuevo; Thomas Fahringer (CCGRID, 2012)

MOHEFT: A multi-objective list-based method for workflow scheduling. - Juan Jose Durillo Barrionuevo; Hamid Mohammadi Fard; Radu Prodan (CloudCom, 2012)

Tuning MPI Runtime Parameter Setting for High Performance Computing. - Simone Pellegrini; Radu Prodan; Thomas Fahringer (CLUSTER Workshops, 2012)

Meteorological Simulations in the Cloud with the ASKALON Environment. - Gabriela Andreea Morar; Felix Schüller; Simon Ostermann 001; Radu Prodan; Georg J. Mayr (Euro-Par Workshops, 2012)

Impact of Variable Priced Cloud Resources on Scientific Workflow Scheduling. - Simon Ostermann 001; Radu Prodan (Euro-Par, 2012)

A Sequential Cooperative Game Theoretic Approach to Storage-Aware Scheduling of Multiple Large-Scale Workflow Applications in Grids. - Rubing Duan; Radu Prodan; Xiaorong Li (GRID, 2012)

The JavaSymphony Extensions for Parallel GPU Computing. - Muhammad Aleem; Radu Prodan; Thomas Fahringer (ICPP, 2012)

Massively Multiplayer Online Games on unreliable resources. - Vlad Nae; Lukas Köpfle; Radu Prodan; Alexandru Iosup (NetGames, 2012)

A Lightweight C++ Interface to MPI. - Simone Pellegrini; Radu Prodan; Thomas Fahringer (PDP, 2012)

Evaluating High-Performance Computing on Google App Engine. - Radu Prodan; Michael Sperk; Simon Ostermann 001 (IEEE Softw., 2012)

Meeting Soft Deadlines in Scientific Workflows Using Resubmission Impact. - Kassian Plankensteiner; Radu Prodan (IEEE Trans. Parallel Distributed Syst., 2012)

GTSRB - German Traffic Sign Recognition Benchmark by Real-Time Computer Vision at Ruhr-Universität Bochum. - Narges Mehran; Dragi Kimovski; Zahra Najafabadi Samani; Nikolay Nikolov; Reza Farahani; Radu Prodan (Zenodo, 2012)

GTSRB - German Traffic Sign Recognition Benchmark by Real-Time Computer Vision at Ruhr-Universität Bochum. - Narges Mehran; Dragi Kimovski; Zahra Najafabadi Samani; Nikolay Nikolov; Reza Farahani; Radu Prodan (Zenodo, 2012)

Autonomous massively multiplayer online game operation on unreliable resources. - Vlad Nae; Lukas Köpfle; Radu Prodan; Alexandru Iosup (C3S2E, 2013)

SLA-based operation of massively multiplayer online games in competition-based environments. - Vlad Nae; Radu Prodan; Alexandru Iosup (C3S2E, 2013)

Autonomic operation of massively multiplayer online games in clouds. - Vlad Nae; Radu Prodan; Alexandru Iosup (CAC, 2013)

Multi-objective Workflow Scheduling: An Analysis of the Energy Efficiency and Makespan Tradeoff. - Juan José Durillo; Vlad Nae; Radu Prodan (CCGRID, 2013)

Budget-Constrained Resource Provisioning for Scientific Applications in Clouds. - Hamid Mohammadi Fard; Thomas Fahringer; Radu Prodan (CloudCom (1), 2013)

Bringing Scientific Workflows to Amazon SWF. - Matthias Janetschek; Simon Ostermann 001; Radu Prodan (EUROMICRO-SEAA, 2013)

Workflow Scheduling in Amazon EC2. - Juan José Durillo; Radu Prodan; Weicheng Huang (Euro-Par Workshops, 2013)

Topic 6: Grid, Cluster and Cloud Computing - (Introduction). - Erwin Laure; Odej Kao; Rosa M. Badia; Laurent Lefèvre; Beniamino Di Martino; Radu Prodan; Matteo Turilli; Daniel Warneke (Euro-Par, 2013)

A framework for region-based instrumentation of energy consumption of program executions. - Simon Ostermann 001; Thomas S. Eiter; Vlad Nae; Radu Prodan (IECON, 2013)

Execution time prediction for grid infrastructures based on runtime provenance data. - Muhammad Junaid Malik; Thomas Fahringer; Radu Prodan (WORKS@SC, 2013)

Scientific computing with Google App Engine. - Radu Prodan; Michael Sperk (Future Gener. Comput. Syst., 2013)

Fine-Grain Interoperability of Scientific Workflows in Distributed Computing Infrastructures. - Kassian Plankensteiner; Radu Prodan; Matthias Janetschek; Thomas Fahringer; Johan Montagnat; David Rogers; Ian Harvey; Ian J. Taylor; Ákos Balaskó; Péter Kacsuk (J. Grid Comput., 2013)

A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments. - Hamid Mohammadi Fard; Radu Prodan; Thomas Fahringer (IEEE Trans. Parallel Distributed Syst., 2013)

IaaS Cloud Benchmarking: Approaches, Challenges, and Experience. - Alexandru Iosup; Radu Prodan; Dick H. J. Epema (Cloud Computing for Data-Intensive Applications, 2014)

Identifying patterns for human activities of daily living in smart homes. - Radu Prodan; Ioan Nascu (AQTR, 2014)

Cooperative Scheduling of Bag-of-Tasks Workflows on Hybrid Clouds. - Rubing Duan; Radu Prodan (CloudCom, 2014)

Fostering energy-awareness in scientific cloud users. - Simon Ostermann 001; Gabor Kecskemeti; Radu Prodan (CloudNet, 2014)

Meteorological applications utilizing Grid and Cloud computing. - Simon Ostermann 001; Radu Prodan; Felix Schüller; Georg J. Mayr (CloudNet, 2014)

Workflow Scheduling on Federated Clouds. - Juan José Durillo; Radu Prodan (Euro-Par, 2014)

Comparison of Static and Dynamic Resource Allocations for Massively Multiplayer Online Games on Unreliable Resources. - Radu Prodan; Alexandru Iosup; Cristian Bologa (Euro-Par Workshops (1), 2014)

Massivizing online games using cloud computing: A vision. - Alexandru Iosup; Siqi Shen; Yong Guo; Stefan Hugtenburg; Jesse Donkervliet; Radu Prodan (ICME Workshops, 2014)

Optimizations to enhance sustainability of MPI applications. - Jesús Carretero 001; 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 (EuroMPI/ASIA, 2014)

Fostering Energy-Awareness in Simulations behind Scientific Workflow Management Systems. - Gabor Kecskemeti; Simon Ostermann 001; Radu Prodan (UCC, 2014)

Evaluating Energy Efficiency of Gigabit Ethernet and Infiniband Software Stacks in Data Centres. - Vincenzo De Maio; Vlad Nae; Radu Prodan (UCC, 2014)

Multi-objective workflow scheduling in Amazon EC2. - Juan José Durillo; Radu Prodan (Clust. Comput., 2014)

A sequential cooperative game theoretic approach to scheduling multiple large-scale applications in grids. - Rubing Duan; Radu Prodan; Xiaorong Li (Future Gener. Comput. Syst., 2014)

Multi-objective energy-efficient workflow scheduling using list-based heuristics. - Juan José Durillo; Vlad Nae; Radu Prodan (Future Gener. Comput. Syst., 2014)

Multi-objective list scheduling of workflow applications in distributed computing infrastructures. - Hamid Mohammadi Fard; Radu Prodan; Thomas Fahringer (J. Parallel Distributed Comput., 2014)

SLA-based operations of massively multiplayer online games in clouds. - Vlad Nae; Radu Prodan; Alexandru Iosup (Multim. Syst., 2014)

An architecture to stimulate behavioral development of academic cloud users. - Gabor Kecskemeti; Simon Ostermann 001; Radu Prodan (Sustain. Comput. Informatics Syst., 2014)

Multi-Objective Game Theoretic Schedulingof Bag-of-Tasks Workflows on Hybrid Clouds. - Rubing Duan; Radu Prodan; Xiaorong Li (IEEE Trans. Cloud Comput., 2014)

A Workload-Aware Energy Model for Virtual Machine Migration. - Vincenzo De Maio; Gabor Kecskemeti; Radu Prodan (CLUSTER, 2015)

Energy Prediction of OpenMP Applications Using Random Forest Modeling Approach. - Shajulin Benedict; R. S. Rejitha; Philipp Gschwandtner; Radu Prodan; Thomas Fahringer (IPDPS Workshops, 2015)

On Processing Extreme Data. - Dana Petcu; Gabriel Iuhasz; Daniel Pop; Domenico Talia; Jesús Carretero 001; Radu Prodan; Thomas Fahringer; Ivan Grasso; Ramón Doallo; María J. Martín; Basilio B. Fraguela; Roman Trobec; et al. (Scalable Comput. Pract. Exp., 2015)

Pareto tradeoff scheduling of workflows on federated commercial Clouds. - Juan José Durillo; Radu Prodan; Jorge G. Barbosa (Simul. Model. Pract. Theory, 2015)

PIASA: A power and interference aware resource management strategy for heterogeneous workloads in cloud data centers. - Altino M. Sampaio; Jorge G. Barbosa; Radu Prodan (Simul. Model. Pract. Theory, 2015)

Acceleration of MPI mechanisms for sustainable HPC applications. - Jesús Carretero 001; Javier García-Blas; David E. Singh; Florin Isaila; Alexey L. Lastovetsky; Thomas Fahringer; Radu Prodan; Peter Zangerl; Christi Symeonidou; Afshin Fassihi; Horacio Pérez Sánchez (Supercomput. Front. Innov., 2015)

On the Next Generations of Infrastructure-as-a-Services. - Dana Petcu; Maria Fazio; Radu Prodan; Zhiming Zhao; Massimiliano Rak (CLOSER (1), 2016)

Towards an Environment for Efficient and Transparent Virtual Machine Operations: The ENTICE Approach. - Dragi Kimovski; Nishant Saurabh; Sandi Gec; Polona Stefanic; Gabor Kecskemeti; Vlado Stankovski; Radu Prodan; Thomas Fahringer (CloudNet, 2016)

Multi-objective Optimization Framework for VMI Distribution in Federated Cloud Repositories. - Dragi Kimovski; Nishant Saurabh; Sandi Gec; Vlado Stankovski; Radu Prodan (Euro-Par Workshops, 2016)

VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues. - Nishant Saurabh; Dragi Kimovski; Simon Ostermann 001; Radu Prodan (Euro-Par Workshops, 2016)

Superlinear Speedup in HPC Systems: why and when? - Sasko Ristov; Radu Prodan; Marjan Gusev; Karolj Skala (FedCSIS, 2016)

A scalable GPU-enabled framework for training deep neural networks. - Bonaventura Del Monte; Radu Prodan (ICGHPC, 2016)

OpenSwarm: An event-driven embedded operating system for miniature robots. - Stefan M. Trenkwalder; Yuri Kaszubowski Lopes; Andreas Kolling; Anders Lyhne Christensen; Radu Prodan; Roderich Gross (IROS, 2016)

Using Constraint-Based Reasoning for Multi-objective Optimisation of the ENTICE Environment. - Sandi Gec; Dragi Kimovski; Radu Prodan; Vlado Stankovski (SKG, 2016)

Handling the uncertainty in resource performance for executing workflow applications in clouds. - Hamid Mohammadi Fard; Sasko Ristov; Radu Prodan (UCC, 2016)

An improved model for live migration in data centre simulators. - Vincenzo De Maio; Gabor Kecskemeti; Radu Prodan (UCC, 2016)

Multi-layered simulations at the heart of workflow enactment on clouds. - Simon Ostermann 001; Gabor Kecskemeti; Radu Prodan (Concurr. Comput. Pract. Exp., 2016)

Low-time complexity budget-deadline constrained workflow scheduling on heterogeneous resources. - Hamid Arabnejad; Jorge G. Barbosa; Radu Prodan (Future Gener. Comput. Syst., 2016)

Modelling energy consumption of network transfers and virtual machine migration. - Vincenzo De Maio; Radu Prodan; Shajulin Benedict; Gabor Kecskemeti (Future Gener. Comput. Syst., 2016)

Operation analysis of massively multiplayer online games on unreliable resources. - Radu Prodan; Alexandru Iosup (Peer-to-Peer Netw. Appl., 2016)

Large scale distributed cooperative environments on clouds and P2P. - Laura Ricci; Alexandru Iosup; Radu Prodan (Peer-to-Peer Netw. Appl., 2016)

Multi-objective Middleware for Distributed VMI Repositories in Federated Cloud Environment. - Dragi Kimovski; Nishant Saurabh; Vlado Stankovski; Radu Prodan (Scalable Comput. Pract. Exp., 2016)

A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks. - Nishant Saurabh; Dragi Kimovski; Francesco Gaetano; Radu Prodan (CCGrid, 2017)

Multi-objective Service Oriented Network Provisioning in Ultra-Scale Systems. - Dragi Kimovski; Sashko Ristov; Roland Mathá; Radu Prodan (Euro-Par Workshops, 2017)

A Simplified Model for Simulating the Execution of a Workflow in Cloud. - Roland Mathá; Sasko Ristov; Radu Prodan (Euro-Par, 2017)

Use Cases towards a Decentralized Repository for Transparent and Efficient Virtual Machine Operations. - 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 (PDP, 2017)

Analysing the Performance Instability Correlation with Various Workflow and Cloud Parameters. - Sasko Ristov; Roland Mathá; Radu Prodan (PDP, 2017)

Resilient IoT eHealth solutions in case of disasters. - Marjan Gusev; Sasko Ristov; Radu Prodan; Matija Dzanko; Ivana Bilic (RNDM, 2017)

A compiler transformation-based approach to scientific workflow enactment. - Matthias Janetschek; Radu Prodan (WORKS@SC, 2017)

Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rulea Smart Factory. - Kirill Borodulin; Gleb I. Radchenko; Aleksandr Shestakov; Leonid B. Sokolinsky; Andrey Tchernykh; Radu Prodan (UCC, 2017)

A workflow runtime environment for manycore parallel architectures. - Matthias Janetschek; Radu Prodan; Shajulin Benedict (Future Gener. Comput. Syst., 2017)

A Serverless Real-Time Data Analytics Platform for Edge Computing. - Stefan Nastic; Thomas Rausch; Ognjen Scekic; Schahram Dustdar; Marjan Gusev; Bojana Koteska; Magdalena Kostoska; Boro Jakimovski; Sasko Ristov; Radu Prodan (IEEE Internet Comput., 2017)

Simulation of a workflow execution as a real Cloud by adding noise. - Roland Mathá; Sasko Ristov; Radu Prodan (Simul. Model. Pract. Theory, 2017)

h-Fair: Asymptotic Scheduling of Heavy Workloads in Heterogeneous Data Centers. - Andrei Vlad Postoaca; Florin Pop; Radu Prodan (CCGrid, 2018)

DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR. - Anish Jindal; Gagangeet Singh Aujla; Neeraj Kumar 001; Radu Prodan; Mohammad S. Obaidat (GLOBECOM, 2018)

DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing. - Vipul Mudgill; Gagangeet Singh Aujla; Neeraj Kumar 001; Mohammad S. Obaidat; Radu Prodan (GLOBECOM Workshops, 2018)

Adaptive Nature-Inspired Fog Architecture. - Dragi Kimovski; Humaira Ijaz; Nishant Saurabh; Radu Prodan (ICFEC, 2018)

Distributed environment for efficient virtual machine image management in federated Cloud architectures. - Dragi Kimovski; Attila Csaba Marosi; Sandi Gec; Nishant Saurabh; Attila Kertész; Gabor Kecskemeti; Vlado Stankovski; Radu Prodan (Concurr. Comput. Pract. Exp., 2018)

Large Scale Cooperative Virtual Environments. - Laura Ricci; Alexandru Iosup; Radu Prodan (Concurr. Comput. Pract. Exp., 2018)

An Adaptive Nature-inspired Fog Architecture. - Dragi Kimovski; Humaira Ijaz; Nishant Surabh; Radu Prodan (CoRR, 2018)

HPS-HDS: High Performance Scheduling for Heterogeneous Distributed Systems. - Florin Pop; Alexandru Iosup; Radu Prodan (Future Gener. Comput. Syst., 2018)

RM-BDP: Resource management for Big Data platforms. - Florin Pop; Radu Prodan; Gabriel Antoniu (Future Gener. Comput. Syst., 2018)

Guest Editors' Introduction: Special Issue on Storage for the Big Data Era. - Vlado Stankovski; Radu Prodan (J. Grid Comput., 2018)

E-OSched: a load balancing scheduler for heterogeneous multicores. - Yasir Noman Khalid; Muhammad Aleem; Radu Prodan; Muhammad Azhar Iqbal; Muhammad Arshad Islam (J. Supercomput., 2018)

Introduction. - Jesús Carretero 001; Pierre Kuonen; Radu Prodan; Leonel Sousa (Ultrascale Computing Systems, 2019)

Programming models and runtimes. - Georges Da Costa; Alexey L. Lastovetsky; Jorge G. Barbosa; Juan Carlos Díaz Martín; Juan-Luis García Zapata; Matthias Janetschek; Emmanuel Jeannot; João Leitão 001; Ravi Reddy Manumachu; Radu Prodan; Juan A. Rico-Gallego; Peter Van Roy; et al. (Ultrascale Computing Systems, 2019)

Energy aware ultrascale systems. - Ariel Oleksiak; Laurent Lefèvre; Pedro Alonso 002; Georges Da Costa; Vincenzo De Maio; Neki Frasheri; Víctor M. García 001; Joel E. Guerrero; Sébastien Lafond; Alexey L. Lastovetsky; Ravi Reddy Manumachu; Benson Muite; et al. (Ultrascale Computing Systems, 2019)

A Container-Driven Approach for Resource Provisioning in Edge-Fog Cloud. - Hamid Mohammadi Fard; Radu Prodan; Felix Wolf 001 (ALGOCLOUD, 2019)

Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers. - Radu Prodan; Ennio Torre; Juan José Durillo; Gagangeet Singh Aujla; Neeraj Kumar 001; Hamid Mohammadi Fard; Shajulin Benedict (SEAA, 2019)

ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment. - Radu Prodan; Nishant Saurabh; Zhiming Zhao; Kate Orton-Johnson; Antorweep Chakravorty; Aleksandar Karadimce; Alexandre Ulisses (Euro-Par Workshops, 2019)

A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications. - Zahra Najafabadi Samani; Alexander Lercher; Nishant Saurabh; Radu Prodan (Euro-Par Workshops, 2019)

MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment. - Narges Mehran; Dragi Kimovski; Radu Prodan (IOT, 2019)

Semantics-Aware Virtual Machine Image Management in IaaS Clouds. - Nishant Saurabh; Julian Remmers; Dragi Kimovski; Radu Prodan; Jorge G. Barbosa (IPDPS, 2019)

Semantic approach for multi-objective optimisation of the ENTICE distributed Virtual Machine and container images repository. - Sandi Gec; Dragi Kimovski; Uros Pascinski; Radu Prodan; Vlado Stankovski (Concurr. Comput. Pract. Exp., 2019)

The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures - Technical Report. - Laurens Versluis; Roland Mathá; Sacheendra Talluri; Tim Hegeman; Radu Prodan; Ewa Deelman; Alexandru Iosup (CoRR, 2019)

EDITORIAL - Special Issue on Large Scale Cooperative Virtual Environments. - Laura Ricci; Alexandru Iosup; Radu Prodan (J. Grid Comput., 2019)

On the parallel programmability of JavaSymphony for multi-cores and clusters. - Muhammad Aleem; Radu Prodan; Muhammad Arshad Islam; Muhammad Azhar Iqbal (Int. J. Ad Hoc Ubiquitous Comput., 2019)

A new model for cloud elastic services efficiency. - Sasko Ristov; Roland Mathá; Dragi Kimovski; Radu Prodan; Marjan Gusev (Int. J. Parallel Emergent Distributed Syst., 2019)

ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network. - Anatoliy Zabrovskiy; Prateek Agrawal; Roland Mathá; Christian Timmerer; Radu Prodan (BigMM, 2020)

Decentralized Social Media Applications as a Service: a Car-Sharing Perspective. - Anandhakumar Palanisamy; Mirsat Sefidanoski; Spiros Koulouzis; Carlos Rubia; Nishant Saurabh; Radu Prodan (ISCC, 2020)

Cloud - Edge Offloading Model for Vehicular Traffic Analysis. - Dragi Kimovski; Dijana Capeska Bogatinoska; Narges Mehran; Aleksandar Karadimce; Natasa Paunkoska; Radu Prodan; Ninoslav Marina (ISPA/BDCloud/SocialCom/SustainCom, 2020)

M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. - Vladislav Kashansky; Dragi Kimovski; Radu Prodan; Prateek Agrawal; Fabrizio Marozzo; Gabriel Iuhasz; Marek Justyna; Javier García-Blas (PDP, 2020)

Dynamic Multi-objective Scheduling of Microservices in the Cloud. - Hamid Mohammadi Fard; Radu Prodan; Felix Wolf 001 (UCC, 2020)

Editorial for FGCS Special issue on "Time-critical Applications on Software-defined Infrastructures". - Zhiming Zhao; Ian J. Taylor; Radu Prodan (Future Gener. Comput. Syst., 2020)

A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers. - Ennio Torre; Juan José Durillo; Vincenzo De Maio; Prateek Agrawal; Shajulin Benedict; Nishant Saurabh; Radu Prodan (Inf. Softw. Technol., 2020)

Expelliarmus: Semantic-centric virtual machine image management in IaaS Clouds. - Nishant Saurabh; Shajulin Benedict; Jorge G. Barbosa; Radu Prodan (J. Parallel Distributed Comput., 2020)

Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness. - Roland Mathá; Sasko Ristov; Thomas Fahringer; Radu Prodan (IEEE Trans. Parallel Distributed Syst., 2020)

The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures. - Laurens Versluis; Roland Mathá; Sacheendra Talluri; Tim Hegeman; Radu Prodan; Ewa Deelman; Alexandru Iosup (IEEE Trans. Parallel Distributed Syst., 2020)

A Two-Sided Matching Model for Data Stream Processing in the Cloud - Fog Continuum. - Narges Mehran; Dragi Kimovski; Radu Prodan (CCGRID, 2021)

Towards Blockchain-based Smart Systems. - Hamza Baniata; Dragi Kimovski; Radu Prodan; Attila Kertész (CERCIRAS, 2021)

Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances. - Roland Mathá; Dragi Kimovski; Anatoliy Zabrovskiy; Christian Timmerer; Radu Prodan (e-Science, 2021)

SMART: A Tool for Trust and Reputation Management in Social Media. - Nishant Saurabh; Manuel Herold; Hamid Mohammadi Fard; Radu Prodan (Euro-Par Workshops, 2021)

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning. - Anatoliy Zabrovskiy; Prateek Agrawal; Christian Timmerer; Radu Prodan (FRUCT, 2021)

The ADAPT Project: Adaptive and Autonomous Data Performance Connectivity and Decentralized Transport Network. - Vladislav Kashansky; Nishant Saurabh; Radu Prodan; Aso Validi; Cristina Olaverri-Monreal; Renate Burian; Gerhard Burian; Dimo Hirsch; Yisheng Lv; Fei-Yue Wang 001; Hai Zuhge (GoodIT, 2021)

Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum. - Vladislav Kashansky; Gleb I. Radchenko; Radu Prodan (ICCS (1), 2021)

Multilayer Resource-aware Partitioning for Fog Application Placement. - Zahra Najafabadi Samani; Nishant Saurabh; Radu Prodan (ICFEC, 2021)

Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview. - Dumitru Roman; Nikolay Nikolov; Ahmet Soylu; Brian Elvesæter; Hui Song; Radu Prodan; Dragi Kimovski; Andrea Marrella; Francesco Leotta; Mihhail Matskin; Giannis Ledakis 001; Konstantinos Theodosiou; et al. (ISCC, 2021)

Monitoring system architecture for the multi-scale blockchain-based logistic network. - Vladislav Kashansky; Radu Prodan; Aso Validi; Cristina Olaverri-Monreal; Gleb I. Radchenko (UCC Companion, 2021)

FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos. - Prateek Agrawal; Anatoliy Zabrovskiy; Adithyan Ilangovan; Christian Timmerer; Radu Prodan (Clust. Comput., 2021)

Handover authentication latency reduction using mobile edge computing and mobility patterns. - Fatima Abdullah; Dragi Kimovski; Radu Prodan; Kashif Munir (Computing, 2021)

FusionCL: a machine-learning based approach for OpenCL kernel fusion to increase system performance. - Yasir Noman Khalid; Muhammad Aleem; Usman Ahmed; Radu Prodan; Muhammad Arshad Islam; Muhammad Azhar Iqbal (Computing, 2021)

Autotuning of Exascale Applications With Anomalies Detection. - Dragi Kimovski; Roland Mathá; Gabriel Iuhasz; Fabrizio Marozzo; Dana Petcu; Radu Prodan (Frontiers Big Data, 2021)

Cloud, Fog, or Edge: Where to Compute? - Dragi Kimovski; Roland Mathá; Josef Hammer; Narges Mehran; Hermann Hellwagner; Radu Prodan (IEEE Internet Comput., 2021)

Interhost Orchestration Platform Architecture for Ultrascale Cloud Applications. - Sasko Ristov; Thomas Fahringer; Radu Prodan; Magdalena Kostoska; Marjan Gusev; Schahram Dustdar; Ewa Deelman (IEEE Internet Comput., 2021)

Automated bank cheque verification using image processing and deep learning methods. - Prateek Agrawal; Deepak Chaudhary; Vishu Madaan; Anatoliy Zabrovskiy; Radu Prodan; Dragi Kimovski; Christian Timmerer (Multim. Tools Appl., 2021)

XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks. - Vishu Madaan; Aditya Roy; Charu Gupta; Prateek Agrawal; Anand Sharma; Cristian Bologa; Radu Prodan (New Gener. Comput., 2021)

WELFake: Word Embedding Over Linguistic Features for Fake News Detection. - Pawan Kumar Verma; Prateek Agrawal; Ivone Amorim; Radu Prodan (IEEE Trans. Comput. Soc. Syst., 2021)

WELFake dataset for fake news detection in text data. - Pawan Kumar Verma; Prateek Agrawal; Radu Prodan (Zenodo, 2021)

MOGPlay: A Decentralized Crowd Journalism Application for Democratic News Production. - Inês Rito Lima; Cláudia Marinho; Vasco Filipe; Alexandre Ulisses; Nishant Saurabh; Antorweep Chakravorty; Zhiming Zhao; Atanas Hristov; Radu Prodan (ASONAM, 2022)

SimLess: simulate serverless workflows and their twins and siblings in federated FaaS. - Sashko Ristov; Mika Hautz; Christian Hollaus; Radu Prodan (SoCC, 2022)

Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum. - Narges Mehran; Zahra Najafabadi Samani; Dragi Kimovski; Radu Prodan (CLUSTER, 2022)

Big Data Pipeline Scheduling and Adaptation on the Computing Continuum. - Dragi Kimovski; Christian Bauer; Narges Mehran; Radu Prodan (COMPSAC, 2022)

Context-aware Community Evolution Prediction in Online Social Networks. - Alexander Lercher; Nishant Saurabh; Radu Prodan (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform. - Aso Validi; Vladislav Kashansky; Jihed Khiari; Hamid Hadian; Radu Prodan; Juanjuan Li; Fei-Yue Wang 001; Cristina Olaverri-Monreal (ITSC, 2022)

MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum. - Samira Afzal; Zahra Najafabadi Samani; Narges Mehran; Christian Timmerer; Radu Prodan (NCA, 2022)

Geofence-Based Service Discovery in the Computing Continuum. - Kurt Horvath; Dragi Kimovski; Christoph Uran; Radu Prodan; Helmut Wöllik (UCC, 2022)

Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model. - Akif Quddus Khan; Nikolay Nikolov; Mihhail Matskin; Radu Prodan; Hui Song; Dumitru Roman; Ahmet Soylu (UCC, 2022)

CNN-assisted Road Sign Inspection on the Computing Continuum. - Narges Mehran; Radu Prodan (UCC, 2022)

CardioHPC: Serverless Approaches for Real-Time Heart Monitoring of Thousands of Patients. - Marjan Gusev; Sashko Ristov; Andrei Amza; Armin Hohenegger; Radu Prodan; Dimitar Mileski; Pano Gushev; Goran Temelkov (WORKS@SC, 2022)

Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum. - Dragi Kimovski; Sasko Ristov; Radu Prodan (Computer, 2022)

Big Data Pipelines on the Computing Continuum: Tapping the Dark Data. - Dumitru Roman; Radu Prodan; Nikolay Nikolov; Ahmet Soylu; Mihhail Matskin; Andrea Marrella; Dragi Kimovski; Brian Elvesæter; Anthony Simonet-Boulogne; Giannis Ledakis 001; Hui Song; Francesco Leotta; et al. (Computer, 2022)

Big data analytics in Industry 4.0 ecosystems. - Gagangeet Singh Aujla; Radu Prodan; Danda B. Rawat (Softw. Pract. Exp., 2022)

Mobility-Aware IoT Application Placement in the Cloud - Edge Continuum. - Dragi Kimovski; Narges Mehran; Christopher Emanuel Kerth; Radu Prodan (IEEE Trans. Serv. Comput., 2022)

Edge infrastructure traces. - Zahra Najafabadi Samani; Narges Mehran; Dragi Kimovski; Josef Hammer; Radu Prodan (Zenodo, 2022)

Machine Learning Based Resource Utilization Prediction in the Computing Continuum. - Christian Bauer; Narges Mehran; Radu Prodan; Dragi Kimovski (CAMAD, 2023)

Towards Graph-based Cloud Cost Modelling and Optimisation. - Akif Quddus Khan; Nikolay Nikolov; Mihhail Matskin; Radu Prodan; Christoph Bussler; Dumitru Roman; Ahmet Soylu (COMPSAC, 2023)

The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. - 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 (COMPSAC, 2023)

Towards Cloud Storage Tier Optimization with Rule-Based Classification. - Akif Quddus Khan; Nikolay Nikolov; Mihhail Matskin; Radu Prodan; Christoph Bussler; Dumitru Roman; Ahmet Soylu (ESOCC, 2023)

Designing a Sustainable Serverless Graph Processing Tool on the Computing Continuum. - Reza Farahani; Sashko Ristov; Radu Prodan (Euro-Par Workshops, 2023)

MESDD: A Distributed Geofence-Based Discovery Method for the Computing Continuum. - Kurt Horvath; Dragi Kimovski; Christoph Uran; Helmut Wöllik; Radu Prodan (Euro-Par, 2023)

VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing Instances. - Samira Afzal; Narges Mehran; Sandro Linder; Christian Timmerer; Radu Prodan (GMSys@MMSys, 2023)

SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications. - Reza Farahani; Abdelhak Bentaleb; Christian Timmerer; Mohammad Shojafar; Radu Prodan; Hermann Hellwagner (ICC, 2023)

Optimizing Video Streaming for Sustainability and Quality: The Role of Preset Selection in Per-Title Encoding. - Hadi Amirpour; Vignesh V. Menon; Samira Afzal; Radu Prodan; Christian Timmerer (ICME, 2023)

Proactive SLA-aware Application Placement in the Computing Continuum. - Zahra Najafabadi Samani; Narges Mehran; Dragi Kimovski; Radu Prodan (IPDPS, 2023)

A Taxonomy for Cloud Storage Cost. - Akif Quddus Khan; Nikolay Nikolov; Mihhail Matskin; Radu Prodan; Christoph Bussler; Dumitru Roman; Ahmet Soylu (MEDES, 2023)

C3-Edge - An Automated Mininet-Compatible SDN Testbed on Raspberry Pis and Nvidia Jetsons. - Josef Hammer; Dragi Kimovski; Narges Mehran; Radu Prodan; Hermann Hellwagner (NOMS, 2023)

Comparison of Microservice Call Rate Predictions for Replication in the Cloud. - Narges Mehran; Arman Haghighi; Pedram Aminharati; Nikolay Nikolov; Ahmet Soylu; Dumitru Roman; Radu Prodan (UCC, 2023)

Scheduling of Distributed Applications on the Computing Continuum: A Survey. - Narges Mehran; Dragi Kimovski; Hermann Hellwagner; Dumitru Roman; Ahmet Soylu; Radu Prodan (UCC, 2023)

Towards Sustainable Serverless Processing of Massive Graphs on the Computing Continuum. - Reza Farahani; Dragi Kimovski; Sashko Ristov; Alexandru Iosup; Radu Prodan (ICPE (Companion), 2023)

ICPE'23 GraphSys Workshop Chairs Introduction (Welcome). - Alexandru Iosup; Radu Prodan (ICPE (Companion), 2023)

Graph Greenifier: Towards Sustainable and Energy-Aware Massive Graph Processing in the Computing Continuum. - Alexandru Iosup; Radu Prodan; Ana Lucia Varbanescu; Sacheendra Talluri; Gilles Magalhaes; Kailhan Hokstam; Hugo Zwaan; Vincent van Beek; Reza Farahani; Dragi Kimovski (ICPE (Companion), 2023)

Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaS. - Sashko Ristov; Reza Farahani; Radu Prodan (ICPE (Companion), 2023)

Boosting the Impact of Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe Graph-Massivizer: A Horizon Europe Project. - Nuria de Lama Sanchez; Peter Haase 001; Dumitru Roman; Radu Prodan (ICPE (Companion), 2023)

Extreme and Sustainable Graph Processing for Green Finance Investment and Trading. - Laurentiu Alexandru Vasiliu; Dumitru Roman; Radu Prodan (ICPE (Companion), 2023)

Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product. - Gregor Molan; Gregor Dolinar; Jovan Bojkovski; Radu Prodan; Andrea Borghesi; Martin Molan (IEEE Access, 2023)

An Efficient Online Prediction of Host Workloads Using Pruned GRU Neural Nets. - Amin Setayesh; Hamid Hadian; Radu Prodan (CoRR, 2023)

Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming. - Vignesh V. Menon; Samira Afzal; Prajit T. Rajendran; Klaus Schoeffmann; Radu Prodan; Christian Timmerer (CoRR, 2023)

MCred: multi-modal message credibility for fake news detection using BERT and CNN. - Pawan Kumar Verma; Prateek Agrawal; Vishu Madaan; Radu Prodan (J. Ambient Intell. Humaniz. Comput., 2023)

Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. - Akif Quddus Khan; Nikolay Nikolov; Mihhail Matskin; Radu Prodan; Dumitru Roman; Bekir Sahin; Christoph Bussler; Ahmet Soylu (Sensors, 2023)

Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog. - Zahra Najafabadi Samani; Narges Mehran; Dragi Kimovski; Shajulin Benedict; Nishant Saurabh; Radu Prodan (IEEE Trans. Parallel Distributed Syst., 2023)

Logistics 5.0: From Intelligent Networks to Sustainable Ecosystems. - Juanjuan Li; Rui Qin 002; Cristina Olaverri-Monreal; Radu Prodan; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

A trace of microservice time and call rates. - Narges Mehran; Arman Haghighi; Pedram Aminharati; Nikolay Nikolov; Ahmet Soylu; Dumitru Roman; Radu Prodan (Zenodo, 2023)

Serverless Electrocardiogram Stream Processing in Federated Clouds With Lambda Architecture. - Sashko Ristov; Marjan Gusev; Armin Hohenegger; Radu Prodan; Dimitar Mileski; Pano Gushev; Goran Temelkov (Computer, 2023)

Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring. - Nikolay Nikolov; Arnor Solberg; Radu Prodan; Ahmet Soylu; Mihhail Matskin; Dumitru Roman (Computer, 2023)

ARTICONF decentralized social media platform for democratic crowd journalism. - Inês Rito Lima; Vasco Filipe; Cláudia Marinho; Alexandre Ulisses; Antorweep Chakravorty; Atanas Hristov; Nishant Saurabh; Zhiming Zhao; Ruyue Xin; Radu Prodan (Soc. Netw. Anal. Min., 2023)

HEFTLess: A Bi-Objective Serverless Workflow Batch Orchestration on the Computing Continuum. - Reza Farahani; Narges Mehran; Sashko Ristov; Radu Prodan (CLUSTER, 2024)

High Complexity and Bad Quality? Efficiency Assessment for Video QoE Prediction Approaches. - Frank Loh; Gülnaziye Bingöl; Reza Farahani; Andrea Pimpinella; Radu Prodan; Luigi Atzori; Tobias Hoßfeld (CNSM, 2024)

A Study of LLM Generated Line-by-Line Explanations in the Context of Conversational Program Comprehension Tutoring Systems. - Jeevan Chapagain; Mahmudul Islam Sajib; Radu Prodan; Vasile Rus (EC-TEL (1), 2024)

Decoding Complexity-Aware Bitrate-Ladder Estimation for Adaptive VVC Streaming. - Zoha Azimi Ourimi; Amritha Premkumar; Reza Farahani; Vignesh V. Menon; Christian Timmerer; Radu Prodan (EUSIPCO, 2024)

VEEP: Video Encoding Energy and CO2 Emission Prediction. - Armin Lachini; Manuel Hoi; Samira Afzal; Sandro Linder; Farzad Tashtarian; Radu Prodan; Christian Timmerer (GMSys@MMSys, 2024)

Graph Sampling Quality Prediction for Algorithm Recommendation. - S. Haleh S. Dizaji; Reza Farahani; Joze M. Rozanec; Dragi Kimovski; Ahmet Soylu; Radu Prodan (HiPC, 2024)

First International Workshop on Scaling Knowledge Graphs for Industry: Summary. - Michael Cochez; Evgeny Kharlamov; Radu Prodan (SEMANTiCS (Posters, Demos, Workshops & Tutorials), 2024)

Modeling and Generating Extreme Volumes of Financial Synthetic Time-Series Data with Knowledge Graphs. - Laurentiu Vasiliu; S. Haleh S. Dizaji; Aaron Eberhart; Dumitru Roman; Radu Prodan (SEMANTiCS (Posters, Demos, Workshops & Tutorials), 2024)

StoreLess: Serverless Workflow Scheduling with Federated Storage in Sky Computing. - Sashko Ristov; Mika Hautz; Philipp Gritsch; Stefan Nastic; Radu Prodan; Michael Felderer (ICSOC (2), 2024)

SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-Things Services. - Kurt Klaus Horvath; Dragi Kimovski; Bernd Spiess; Oliver Hohlfeld; Radu Prodan (IoT, 2024)

GREEM: An Open-Source Energy Measurement Tool for Video Processing. - Christian Bauer; Samira Afzal; Sandro Linder; Radu Prodan; Christian Timmerer (MMSys, 2024)

VEED: Video Encoding Energy and CO2 Emissions Dataset for AWS EC2 instances. - Sandro Linder; Samira Afzal; Christian Bauer; Hadi Amirpour; Radu Prodan; Christian Timmerer (MMSys, 2024)

Towards ML-Driven Video Encoding Parameter Selection for Quality and Energy Optimization. - Zoha Azimi Ourimi; Reza Farahani; Vignesh V. Menon; Christian Timmerer; Radu Prodan (QoMEX, 2024)

JobKG: A Knowledge Graph of the Romanian Job Market based on Natural Language Processing. - Petre Caraiani; Liviu-Adrian Cotfas; Flavius Cosmin Darie; Camelia Delcea; Carlos Angel Iglesias; Radu Prodan (RuleML+RR (Companion), 2024)

An Integrated Approach Using Ontologies, Knowledge Graphs, Machine Learning, and Rules Models for Synthetic Financial Time Series Generation. - Laurentiu Vasiliu; Radu Prodan; Ahmet Soylu; Dumitru Roman (RuleML+RR (Companion), 2024)

An Extensive Characterization of Graph Sampling Algorithms. - S. Haleh S. Dizaji; Joze M. Rozanec; Reza Farahani; Dumitru Roman; Radu Prodan (ICPE (Companion), 2024)

Serverless Workflow Management on the Computing Continuum: A Mini-Survey. - Reza Farahani; Frank Loh; Dumitru Roman; Radu Prodan (ICPE (Companion), 2024)

GraphSys-2024: 2nd Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems. - Alexandru Iosup; Radu Prodan; Ana Lucia Varbanescu (ICPE (Companion), 2024)

A Survey on Energy Consumption and Environmental Impact of Video Streaming. - Samira Afzal; Narges Mehran; Zoha Azimi Ourimi; Farzad Tashtarian; Hadi Amirpour; Radu Prodan; Christian Timmerer (CoRR, 2024)

Towards AI-Assisted Sustainable Adaptive Video Streaming Systems: Tutorial and Survey. - Reza Farahani; Zoha Azimi Ourimi; Christian Timmerer; Radu Prodan (CoRR, 2024)

Beyond Von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions. - Dragi Kimovski; Nishant Saurabh; Matthijs Jansen; Atakan Aral; Auday Al-Dulaimy; André B. Bondi; Antonino Galletta; Alessandro V. Papadopoulos; Alexandru Iosup; Radu Prodan (IEEE Internet Comput., 2024)

The computing continuum: From IoT to the cloud. - 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; et al. (Internet Things, 2024)

A trace of microservice time and call rates. - Narges Mehran; Arman Haghighi; Pedram Aminharati; Nikolay Nikolov; Ahmet Soylu; Dumitru Roman; Radu Prodan (Zenodo, 2024)

Evaluation of Storage Placement in Computing Continuum for a Robotic Application. - Zeinab Bakhshi; Guillermo Rodríguez-Navas; Hans Hansson; Radu Prodan (J. Grid Comput., 2024)

Cloud storage cost: a taxonomy and survey. - Akif Quddus Khan; Mihhail Matskin; Radu Prodan; Christoph Bussler; Dumitru Roman; Ahmet Soylu (World Wide Web (WWW), 2024)

DFARM: a deadline-aware fault-tolerant scheduler for cloud computing. - Ahmad Awan; Muhammad Aleem; Altaf Hussain; Radu Prodan (Clust. Comput., 2024)

A trace of microservice time, call rate, and number of replicas. - Narges Mehran; Zahra Najafabadi Samani; Samira Afzal; Radu Prodan; Frank Pallas; Peter Dorfinger (Zenodo, 2024)

Cloud storage tier optimization through storage object classification. - Akif Quddus Khan; Mihhail Matskin; Radu Prodan; Christoph Bussler; Dumitru Roman; Ahmet Soylu (Computing, 2024)

Securing the Future After PagerBombs: Lifecycle Protection of Smart Devices via Blockchain Intelligence. - Fei Lin; Qinghua Ni; Jing Yang 044; Juanjuan Li; Nan Zheng; Levente Kovács; Radu Prodan; Mariagrazia Dotoli; Qing-Long Han; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2024)

Cost modelling and optimisation for cloud: a graph-based approach. - Akif Quddus Khan; Mihhail Matskin; Radu Prodan; Christoph Bussler; Dumitru Roman; Ahmet Soylu (J. Cloud Comput., 2024)

Towards an Energy-Efficient Video Processing Tool with LLMs. - Zoha Azimi Ourimi; Reza Farahani; Christian Timmerer; Radu Prodan (MHV, 2025)

PreMatch: A Prediction-based Scheduler for Dataflow Asynchronous Processing on the Computing Continuum. - Narges Mehran; Zahra Najafabadi Samani; Samira Afzal; Radu Prodan; Frank Pallas; Peter Dorfinger (SAC, 2025)

Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions. - Reza Farahani; Radu Prodan (ICPE (Companion), 2025)

Traces of Edge Device Utilization and Microservice Requirements/Replicas. - Narges Mehran; Nikolay Nikolov; Radu Prodan; Dumitru Roman; Dragi Kimovski; Frank Pallas; Peter Dorfinger (Zenodo, 2025)

Enhancing Traffic Safety with AI and 6G: Latency Requirements and Real-Time Threat Detection. - Kurt Horvath; Dragi Kimovski; Stojan Kitanov; Radu Prodan (CoRR, 2025)

ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction. - Narges Mehran; Nikolay Nikolov; Radu Prodan; Dumitru Roman; Dragi Kimovski; Frank Pallas; Peter Dorfinger (CoRR, 2025)

SCAREY: Location-Aware Service Lifecycle Management. - Kurt Horvath; Dragi Kimovski; Radu Prodan (CoRR, 2025)

Optimization of resource-aware parallel and distributed computing: a review. - Pawel Czarnul; Marcel Antal; Hamza Baniata; Dalvan Griebler; Attila Kertész; Christoph W. Kessler; Andreas Kouloumpris; Salko Kovacic; András Márkus; Maria K. Michael; Panagiota Nikolaou; Isil Öz; et al. (J. Supercomput., 2025)

Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data. - Ahmed Mujtaba; Gleb I. Radchenko; Radu Prodan; Marc Masana (CoRR, 2025)