TY - CHAP AU - Dobreff, Gergely AU - Frey, Dániel AU - Báder, Attila AU - Pašić, Alija ED - Prosper, Chemouil ED - Barbara, Martini ED - Carmen, Mas Machuca ED - Panagiotis, Papadimitriou ED - Davide, Borsatti ED - Stéphane, Rovedakis TI - Empowering ISPs with Cloud Gaming User Experience Modeling: A NVIDIA GeForce NOW Use-Case T2 - 2024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN) PB - IEEE CY - Piscataway (NJ) SN - 9798350393767 T3 - International Conference on Intelligence in Next Generation Networks, ISSN 2162-3414 PY - 2024 SP - 202 EP - 209 PG - 8 DO - 10.1109/ICIN60470.2024.10494462 UR - https://m2.mtmt.hu/api/publication/34832880 ID - 34832880 N1 - Orange Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Hungary Ericsson Hungary, Hungary Conference code: 198793 Export Date: 3 May 2024 AB - Cloud gaming has emerged as a cost-effective and accessible gaming solution, with platforms like NVIDIA GeForce NOW leading the way. The rapid growth of this industry, projected to reach 6.8 billion USD by 2028, has sparked the need for enhanced user experience models to optimize cloud and network infrastructure. In our study, we conducted a comprehensive analysis of the in-game performance of the popular NVIDIA GeForce NOW cloud gaming platform under varying network conditions. Our research focused on quality of service (QoS) metrics, particularly the WebRTC logs, and their relationship with user experience, defined as in-game performance. Standardized and repeatable measurements from the GeForce NOW platform were used, where the player was asked to complete training exercises of fast-paced games under different network conditions. This paper analyses and proposes machine learning (ML) models that estimate the user experience of cloud gaming. The models are trained on the low-level network- and application-related QoS metrics extracted from WebRTC logs. Our contribution demonstrates that ML models can accurately estimate in-game performance from QoS parameters, highlighting network latency's greater impact on the player's gaming experience than packet loss, bandwidth, and jitter. With our novel model, internet service providers (ISPs) can effectively estimate user experience using only network-related metrics, enabling network optimization and enhancing gaming services. This research deepens our understanding of cloud gaming user experience and offers insights for refining cloud gaming services. © 2024 IEEE. LA - English DB - MTMT ER - TY - JOUR AU - Pašić, Alija AU - Revisnyei, Péter AU - Mogyorósi, Ferenc TI - Összefüggő hálózatok védelme nagy kiterjedésű hibák ellen JF - ELEKTROTECHNIKA J2 - ELEKTROTECHNIKA VL - 116 PY - 2023 IS - 9-10 SP - 25 EP - 27 PG - 3 SN - 0367-0708 UR - https://m2.mtmt.hu/api/publication/34395347 ID - 34395347 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Babarczi, Péter AU - Mogyorósi, Ferenc AU - Pašić, Alija ED - IEEE, , TI - Intelligent Control Plane Design for Virtual Software-Defined Networks T2 - 2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM) PB - IEEE CY - Piscataway (NJ) SN - 9798350327359 PY - 2023 PG - 8 DO - 10.1109/RNDM59149.2023.10293099 UR - https://m2.mtmt.hu/api/publication/34238494 ID - 34238494 N1 - UNIBERG Conference code: 194041 Export Date: 20 December 2023 Funding details: NTP-NFTÖ-22-B-0141, NTP-NFTÖ-22-B-0225 Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI, FK 20 Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA, KDP-2021 Funding text 1: Hungarian Academy of Sciences. Project no. C1445813 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the KDP-2021 funding scheme. The work of F. Mogyorósi and A. Pasˇić was supported by EMET under grant NTP-NFTÖ-22-B-0225 and NTP-NFTÖ-22-B-0141. Funding text 2: This work was supported by Projects no. 134604 and no. 137698 that have been implemented with the support provided by the National Research, Development and Innovation Fund of Hungary, financed under the FK 20 and PD 21 funding schemes, respectively. The work of A. Pasˇić was supported by the János Bolyai Research Scholarship of the LA - English DB - MTMT ER - TY - CHAP AU - Pašić, Alija AU - Revisnyei, Péter AU - Mogyorósi, Ferenc ED - IEEE, , TI - Disaster-Resilient Upgrade of Interdependent Networks T2 - 2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM) PB - IEEE CY - Piscataway (NJ) SN - 9798350327359 PY - 2023 PG - 8 DO - 10.1109/RNDM59149.2023.10293104 UR - https://m2.mtmt.hu/api/publication/34238479 ID - 34238479 N1 - Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Department of Telecommunications and Media Informatics, Budapest, H-1l11, Hungary ELKH-BME Information Systems Research Group, Budapest, H-1117, Hungary Export Date: 14 December 2023 LA - English DB - MTMT ER - TY - CHAP AU - Pašić, Lejla AU - Pašić, Azra AU - Pašić, Alija AU - Vokony, István AU - Bíró, József ED - Sandikkaya, Mehmet Tahir ED - Usta, Ömer TI - Enhancing Machine Learning Based Solar Generation Forecasting with Time Data Utilization T2 - 2023 IEEE PES GTD International Conference and Exposition (GTD) PB - IEEE Computer Society Press CY - Los Alamitos (CA) SN - 9781728170251 PY - 2023 SP - 134 EP - 138 PG - 5 DO - 10.1109/GTD49768.2023.00052 UR - https://m2.mtmt.hu/api/publication/34119881 ID - 34119881 N1 - Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Muegyetem rkp. 3, Budapest, H-1111, Hungary Department of Telecommunications and Media Informatics, Hungary Department of Electric Power Engineering, Hungary ELKH-BME Information Systems Research Group, 1117, Magyar Tudosok krt. 2, Budapest, Hungary Export Date: 9 November 2023 LA - English DB - MTMT ER - TY - CHAP AU - Pašić, Lejla AU - Pašić, Azra AU - Pašić, Alija AU - Vokony, István AU - Bíró, József ED - Sandikkaya, Mehmet Tahir ED - Usta, Ömer TI - Separated Artificial Neural Network Based Distribution System State Estimation T2 - 2023 IEEE PES GTD International Conference and Exposition (GTD) PB - IEEE Computer Society Press CY - Los Alamitos (CA) SN - 9781728170251 PY - 2023 SP - 320 EP - 324 PG - 5 DO - 10.1109/GTD49768.2023.00087 UR - https://m2.mtmt.hu/api/publication/34119879 ID - 34119879 N1 - Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Budapest, H-1111, Hungary Department of Telecommunications and Media Informatics, Budapest, Hungary Department of Electric Power Engineering, Budapest, Hungary ELKH-BME Information Systems Research Group, Budapest, Hungary Export Date: 9 November 2023 LA - English DB - MTMT ER - TY - JOUR AU - Pašić, Lejla AU - Pašić, Azra AU - Pašić, Alija AU - Vokony, István AU - Bíró, József TI - Mesterséges neurális hálózatok alapú kooperatív napenergia termelés-előrejelzés JF - ELEKTROTECHNIKA J2 - ELEKTROTECHNIKA VL - 116 PY - 2023 IS - 5-6 SP - 11 EP - 12 PG - 2 SN - 0367-0708 UR - https://m2.mtmt.hu/api/publication/34118597 ID - 34118597 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Dobreff, Gergely AU - Szalay, Márk AU - Molnár, Márton AU - Varga, L. AU - Ladóczki, Bence AU - Bader, A. AU - Pašić, Alija TI - Predicting QoE for Delay-critical services in Mobile Networks: A video conferencing case study T2 - 30th International Conference on Systems, Signals and Image Processing, IWSSIP 2023 VL - 2023-June PB - IEEE CY - Piscataway (NJ) SN - 9798350337297 PY - 2023 SP - 1 EP - 5 PG - 5 DO - 10.1109/IWSSIP58668.2023.10180263 UR - https://m2.mtmt.hu/api/publication/34094284 ID - 34094284 N1 - Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Hungary Ericsson Hungary, Hungary ELKH-BME Information Systems Research Group, Hungary Export Date: 14 August 2023 Correspondence Address: Dobreff, G.; Budapest University of Technology and Economics, Hungary; email: dobreff@tmit.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Revisnyei, Péter AU - Mogyorósi, Ferenc AU - Papp, Zsófia AU - Törős, István AU - Pašić, Alija ED - Akkaya, K ED - Festor, O ED - Fung, C ED - Rahman, M A ED - Granville, L Z ED - dos Santos, C R A TI - Performance of a TDOA indoor positioning solution in real-world 5G network T2 - NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium PB - IEEE CY - Piscataway (NJ) SN - 9781665477161 PY - 2023 SP - 1 EP - 6 PG - 6 DO - 10.1109/NOMS56928.2023.10154362 UR - https://m2.mtmt.hu/api/publication/34046721 ID - 34046721 N1 - Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Department of Telecommunications and Media Informatics, Muegyetem rkp. 3., Budapest, H-1111, Hungary Ericsson Research ELKH-BME Information Systems Research Group, Budapest, Hungary Export Date: 27 July 2023 Correspondence Address: Revisnyei, P.; Budapest University of Technology and Economics, Muegyetem rkp. 3., Hungary; email: revisnyei@tmit.bme.hu Correspondence Address: Mogyorósi, F.; Budapest University of Technology and Economics, Muegyetem rkp. 3., Hungary; email: mogyorosi@tmit.bme.hu Correspondence Address: Pašić, A.; Budapest University of Technology and Economics, Muegyetem rkp. 3., Hungary; email: pasic@tmit.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Dobreff, Gergely AU - Szalay, Márk AU - Ladóczki, Bence AU - Molnár, Márton AU - Varga, László AU - Báder, Attila AU - Pašić, Alija TI - Data Collection Framework for End-to-End Radio and Transport Network Quality Monitoring T2 - 2023 15th International Conference on Quality of Multimedia Experience (QoMEX) PB - IEEE CY - Piscataway (NJ) SN - 9798350311730 T3 - International Workshop on Quality of Multimedia Experience (QoMEx), ISSN 2472-7814 PY - 2023 SP - 127 EP - 130 PG - 4 DO - 10.1109/QoMEX58391.2023.10178470 UR - https://m2.mtmt.hu/api/publication/34017457 ID - 34017457 LA - English DB - MTMT ER -