αΩHighway interconnection network architecture for high performance computing. - Plamenka Borovska; Dragi Kimovski (ISCC, 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)

Feature selection in high-dimensional EEG data by parallel multi-objective optimization. - Dragi Kimovski; Julio Ortega Lopera; Andrés Ortiz 001; Raul Baños (CLUSTER, 2014)

Adaptive flow control in high-performance interconnection networks. - Plamenka Borovska; Dragi Kimovski (J. Supercomput., 2014)

Parallel Cooperation for Large-Scale Multiobjective Optimization on Feature Selection Problems. - Dragi Kimovski; Julio Ortega Lopera; Andrés Ortiz 001; Raul Baños (EvoApplications, 2015)

Hexagon interconnection network topology. - Ljupcho Baleski; Dragi Kimovski; Ninoslav Marina (ICUMT, 2015)

Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data. - Dragi Kimovski; Julio Ortega Lopera; Andrés Ortiz 001; Raul Baños (Concurr. Comput. Pract. Exp., 2015)

Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection. - Dragi Kimovski; Julio Ortega Lopera; Andrés Ortiz 001; Raul Baños (Expert Syst. Appl., 2015)

Applications for ultrascale computing. - Milan Mihajlovic; Lars Ailo Bongo; Raimondas Ciegis; Neki Frasheri; Dragi Kimovski; Peter G. Kropf; Svetozar Margenov; Maya G. Neytcheva; Thomas Rauber; Gudula Rünger; Roman Trobec; Roel Wuyts; et al. (Supercomput. Front. Innov., 2015)

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)

Using Constraint-Based Reasoning for Multi-objective Optimisation of the ENTICE Environment. - Sandi Gec; Dragi Kimovski; Radu Prodan; Vlado Stankovski (SKG, 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 Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. - Julio Ortega 001; Dragi Kimovski; John Q. Gan; Andrés Ortiz 001; Miguel Damas (IWANN (1), 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)

Non-functional requirements optimisation for multi-tier cloud applications: An early warning system case study. - Polona Stefanic; Dragi Kimovski; George Suciu; Vlado Stankovski (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

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)

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

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)

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)

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)

Multi-objective scheduling of extreme data scientific workflows in Fog. - Vincenzo De Maio; Dragi Kimovski (Future Gener. Comput. 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)

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)

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

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)

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)

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

Preemptive Online Scheduling in the Computing Continuum. - Hellmuth Platter; Dragi Kimovski (UCC, 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)

FaaScinating Resilience for Serverless Function Choreographies in Federated Clouds. - Sasko Ristov; Dragi Kimovski; Thomas Fahringer (IEEE Trans. Netw. Serv. Manag., 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)

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

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

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. - Juan José Escobar; Francisco Rodríguez; Rukiye Savran Kiziltepe; Beatriz Prieto; Dragi Kimovski; Andrés Ortiz 001; Miguel Damas (IWANN (1), 2023)

Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Dragi Kimovski; Jesús González 001 (IWANN (1), 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)

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

Multi-Objective Optimisation of Container Orchestration Systems. - Marcus Reitzl; Dragi Kimovski (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)

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)

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)

A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. - Juan José Escobar; Francisco Rodríguez; Beatriz Prieto; Dragi Kimovski; Andrés Ortiz 001; Miguel Damas (Computing, 2023)

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

Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. - Juan José Escobar; Jesús López-Rodríguez; Diego García-Gil; Roberto Morcillo-Jiménez; Beatriz Prieto; Andrés Ortiz 001; Dragi Kimovski (IWBBIO (1), 2024)

Hypergraphs: Facilitating High-Order Modeling of the Computing Continuum. - Dragi Kimovski (ICPE (Companion), 2024)

The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). - Dragi Kimovski; Klervie Toczé; Nikolas Herbst; Tiziano De Matteis (ICPE (Companion), 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)

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

Blockchain consensus mechanisms for democratic voting environments. - Thomas Auer; Kurt Horvath; Dragi Kimovski (IPDPS (Workshops), 2025)

6G Infrastructures for Edge AI: An Analytical Perspective. - Kurt Horvath; Shpresa Tuda; Blerta Idrizi; Stojan Kitanov; Fisnik Doko; Dragi Kimovski (IPDPS (Workshops), 2025)

DEEP: Edge-Based Dataflow Processing with Hybrid Docker Hub and Regional Registries. - Narges Mehran; Zahra Najafabadi Samani; Reza Farahani; Josef Hammer; Dragi Kimovski (IPDPS (Workshops), 2025)

HotCloudPerf'25 Workshop Chairs' Welcome. - Klervie Toczé; André Bauer 001; Dragi Kimovski; Daniele Bonetta (ICPE (Companion), 2025)

Energy-time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters. - Juan José Escobar; Pablo Sánchez-Cuevas; Beatriz Prieto; Rukiye Savran Kiziltepe; Fernando Díaz-del-Río; Dragi Kimovski (Future Gener. Comput. Syst., 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)

Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era. - Kurt Horvath; Dragi Kimovski (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)