Journal's Facebook pageVolume 22, Issue 2 (April 2025)
Special Issue on Computer Systems and Resource Awareness
Special Issue on Computer Systems and Resource Awareness Editorial
Gordana Rakić, Maja H. Kirkeby, Padma Iyenghar and Zoran Budimac
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Rakić, G., Kirkeby, M. H., Iyenghar, P., Budimac, Z.: Special Issue on Computer Systems and Resource Awareness Editorial. Computer Science and Information Systems, Vol. 22, No. 2, i-iv. (2025), https://doi.org/10.2298/CSIS250200iR
Papers
Applying a Hybrid Deployment Strategy for Software Updates to the Manufacturing Execution System Layer
Petar Rajković, Dejan Aleksić, Dragan Janković, Aleksandar Milenković and Anđelija Đorđević
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Rajković, P., Aleksić, D., Janković, D., Milenković, A., Đorđević, A.: Applying a Hybrid Deployment Strategy for Software Updates to the Manufacturing Execution System Layer. Computer Science and Information Systems, Vol. 22, No. 2, 401-435. (2025), https://doi.org/10.2298/CSIS240807027R
Comprehensive Approach to the Design of Information Systems and Optimization of Technical Solutions according to Many Criteria
Mikhail Tatur, Natalia Novoselova and Marina Lukashevich
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Tatur, M., Novoselova, N., Lukashevich, M.: Comprehensive Approach to the Design of Information Systems and Optimization of Technical Solutions according to Many Criteria. Computer Science and Information Systems, Vol. 22, No. 2, 437-457. (2025), https://doi.org/10.2298/CSIS240725025T
Research on Problem Formulations in Resource-aware Problems Across Scientific Domains and Applications
Paweł Czarnul and Mariusz Matuszek
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Czarnul, P., Matuszek, M.: Research on Problem Formulations in Resource-aware Problems Across Scientific Domains and Applications. Computer Science and Information Systems, Vol. 22, No. 2, 459-490. (2025), https://doi.org/10.2298/CSIS240722022C
Resource-Aware Design of an IoT Node for Use in Remote Industrial and Hazardous Areas
Petar Rajković, Milan Vesković, Dejan Aleksić and Dragan Janković
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Rajković, P., Vesković, M., Aleksić, D., Janković, D.: Resource-Aware Design of an IoT Node for Use in Remote Industrial and Hazardous Areas. Computer Science and Information Systems, Vol. 22, No. 2, 491-532. (2025), https://doi.org/10.2298/CSIS240807026R
Demystifying Power and Performance Variations in GPU Systems through Microarchitectural Analysis
Burak Topcu, Deniz Karabacak and Işıl Öz
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Topcu, B., Karabacak, D., Öz, I.: Demystifying Power and Performance Variations in GPU Systems through Microarchitectural Analysis. Computer Science and Information Systems, Vol. 22, No. 2, 533-561. (2025), https://doi.org/10.2298/CSIS240722021T
Comparison and Analysis of Software and Hardware Energy Measurement Methods for a CPU+GPU System and Selected Parallel Applications
Grzegorz Koszczał, Mariusz Matuszek and Paweł Czarnul
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Koszczał, G., Matuszek, M., Czarnul, P.: Comparison and Analysis of Software and Hardware Energy Measurement Methods for a CPU+GPU System and Selected Parallel Applications. Computer Science and Information Systems, Vol. 22, No. 2, 563-590. (2025), https://doi.org/10.2298/CSIS240722023K
Manatee: A Multicore Interference Analysis Tool for Embedded SoC Evaluation
Axel Wiedemann, Florian Haas and Sebastian Altmeyer
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Wiedemann, A., Haas, F., Altmeyer, S.: Manatee: A Multicore Interference Analysis Tool for Embedded SoC Evaluation. Computer Science and Information Systems, Vol. 22, No. 2, 591-621. (2025), https://doi.org/10.2298/CSIS240724024W
Resource-Aware Object Detection and Recognition Using Edge AI Across the Edge-Fog Computing Continuum
Dragan Stojanović, Stefan Sentić, Natalija Stojanović and Teodora Stamenković
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Stojanović, D., Sentić, S., Stojanović, N., Stamenković, T.: Resource-Aware Object Detection and Recognition Using Edge AI Across the Edge-Fog Computing Continuum. Computer Science and Information Systems, Vol. 22, No. 2, 623-648. (2025), https://doi.org/10.2298/CSIS240503020S
Energy-efficiency of software and hardware algorithms
Maja H. Kirkeby, Thomas Krabben, Mathias Larsen, Maria B. Mikkelsen, Mads Rosendahl, Martin Sundman, Tjark Petersen and Martin Schoeberl
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Kirkeby, M. H., Krabben, T., Larsen, M., Mikkelsen, M. B., Rosendahl, M., Sundman, M., Petersen, T., Schoeberl, M.: Energy-efficiency of software and hardware algorithms. Computer Science and Information Systems, Vol. 22, No. 2, 649-671. (2025), https://doi.org/10.2298/CSIS240914028K
