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Dragi Kimovski
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2020 – today
- 2024
- [j21]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) - [j20]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) - [c39]Juan José Escobar, Jesús López-Rodríguez, Diego García-Gil, Roberto Morcillo-Jiménez, Beatriz Prieto, Andrés Ortiz, Dragi Kimovski:
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. IWBBIO (1) 2024: 77-90 - [c38]Dragi Kimovski, Klervie Toczé, Nikolas Herbst, Tiziano De Matteis:
The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). ICPE (Companion) 2024: 163-164 - [c37]Dragi Kimovski:
Hypergraphs: Facilitating High-Order Modeling of the Computing Continuum. ICPE (Companion) 2024: 218-221 - [i9]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) - 2023
- [j19]Juan José Escobar, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas:
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. Computing 105(11): 2487-2510 (2023) - [j18]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) - [c36]Christian Bauer, Narges Mehran, Radu Prodan, Dragi Kimovski:
Machine Learning Based Resource Utilization Prediction in the Computing Continuum. CAMAD 2023: 219-224 - [c35]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 - [c34]Zahra Najafabadi Samani, Narges Mehran, Dragi Kimovski, Radu Prodan:
Proactive SLA-aware Application Placement in the Computing Continuum. IPDPS 2023: 468-479 - [c33]Juan Carlos Gómez-López, Daniel Castillo-Secilla, Dragi Kimovski, Jesús González:
Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification. IWANN (1) 2023: 80-91 - [c32]Juan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas:
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. IWANN (1) 2023: 505-516 - [c31]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 - [c30]Marcus Reitzl, Dragi Kimovski:
Multi-Objective Optimisation of Container Orchestration Systems. UCC 2023: 40 - [c29]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 - [c28]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 - [c27]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 - 2022
- [j17]Dragi Kimovski, Sasko Ristov, Radu Prodan:
Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum. Computer 55(10): 55-65 (2022) - [j16]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) - [j15]Sasko Ristov, Dragi Kimovski, Thomas Fahringer:
FaaScinating Resilience for Serverless Function Choreographies in Federated Clouds. IEEE Trans. Netw. Serv. Manag. 19(3): 2440-2452 (2022) - [j14]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) - [c26]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 - [c25]Dragi Kimovski, Christian Bauer, Narges Mehran, Radu Prodan:
Big Data Pipeline Scheduling and Adaptation on the Computing Continuum. COMPSAC 2022: 1153-1158 - [c24]Kurt Horvath, Dragi Kimovski, Christoph Uran, Radu Prodan, Helmut Wöllik:
Geofence-Based Service Discovery in the Computing Continuum. UCC 2022: 187-188 - [c23]Hellmuth Platter, Dragi Kimovski:
Preemptive Online Scheduling in the Computing Continuum. UCC 2022: 321-326 - [d1]Zahra Najafabadi Samani, Narges Mehran, Dragi Kimovski, Josef Hammer, Radu Prodan:
Edge infrastructure traces. Zenodo, 2022 - [i8]Dragi Kimovski, Sasko Ristov, Radu Prodan:
Decentralized Machine Learning for Intelligent Health Care Systems on the Computing Continuum. CoRR abs/2207.14584 (2022) - 2021
- [j13]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) - [j12]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) - [j11]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) - [j10]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) - [c22]Narges Mehran, Dragi Kimovski, Radu Prodan:
A Two-Sided Matching Model for Data Stream Processing in the Cloud - Fog Continuum. CCGRID 2021: 514-524 - [c21]Hamza Baniata, Dragi Kimovski, Radu Prodan, Attila Kertész:
Towards Blockchain-based Smart Systems. CERCIRAS 2021 - [c20]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 - [c19]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 - [i7]Dragi Kimovski, Roland Mathá, Josef Hammer, Narges Mehran, Hermann Hellwagner, Radu Prodan:
Cloud, Fog or Edge: Where to Compute? CoRR abs/2101.10417 (2021) - [i6]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) - [i5]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
- [j9]Vincenzo De Maio, Dragi Kimovski:
Multi-objective scheduling of extreme data scientific workflows in Fog. Future Gener. Comput. Syst. 106: 171-184 (2020) - [c18]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 - [c17]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
2010 – 2019
- 2019
- [j8]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) - [j7]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) - [c16]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 - [c15]Nishant Saurabh, Julian Remmers, Dragi Kimovski, Radu Prodan, Jorge G. Barbosa:
Semantics-Aware Virtual Machine Image Management in IaaS Clouds. IPDPS 2019: 418-427 - [i4]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) - [i3]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) - [i2]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
- [j6]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) - [c14]Dragi Kimovski, Humaira Ijaz, Nishant Saurabh, Radu Prodan:
Adaptive Nature-Inspired Fog Architecture. ICFEC 2018: 1-8 - [i1]Dragi Kimovski, Humaira Ijaz, Nishant Surabh, Radu Prodan:
An Adaptive Nature-inspired Fog Architecture. CoRR abs/1803.03444 (2018) - 2017
- [c13]Nishant Saurabh, Dragi Kimovski, Francesco Gaetano, Radu Prodan:
A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks. CCGrid 2017: 150-159 - [c12]Dragi Kimovski, Sashko Ristov, Roland Mathá, Radu Prodan:
Multi-objective Service Oriented Network Provisioning in Ultra-Scale Systems. Euro-Par Workshops 2017: 529-540 - [c11]Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas:
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. IWANN (1) 2017: 16-27 - [c10]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 - [c9]Polona Stefanic, Dragi Kimovski, George Suciu, Vlado Stankovski:
Non-functional requirements optimisation for multi-tier cloud applications: An early warning system case study. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - 2016
- [j5]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) - [c8]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 - [c7]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 - [c6]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 - [c5]Sandi Gec, Dragi Kimovski, Radu Prodan, Vlado Stankovski:
Using Constraint-Based Reasoning for Multi-objective Optimisation of the ENTICE Environment. SKG 2016: 17-24 - 2015
- [j4]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data. Concurr. Comput. Pract. Exp. 27(18): 5476-5499 (2015) - [j3]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection. Expert Syst. Appl. 42(9): 4239-4252 (2015) - [j2]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, Roman Wyrzykowski, Jing Gong:
Applications for ultrascale computing. Supercomput. Front. Innov. 2(1): 19-48 (2015) - [c4]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Parallel Cooperation for Large-Scale Multiobjective Optimization on Feature Selection Problems. EvoApplications 2015: 693-705 - [c3]Ljupcho Baleski, Dragi Kimovski, Ninoslav Marina:
Hexagon interconnection network topology. ICUMT 2015: 259-264 - 2014
- [j1]Plamenka Borovska, Dragi Kimovski:
Adaptive flow control in high-performance interconnection networks. J. Supercomput. 68(1): 315-338 (2014) - [c2]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Feature selection in high-dimensional EEG data by parallel multi-objective optimization. CLUSTER 2014: 314-322 - 2012
- [c1]Plamenka Borovska, Dragi Kimovski:
αΩHighway interconnection network architecture for high performance computing. ISCC 2012: 345-347
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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