Entries by Rudolf Messner

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Paper accepted: Community-Based QoE Enhancement for User-Generated Content Live Streaming @ 13th International Conference on Computer and Knowledge Engineering (ICCKE)

Authors: Reza Saeedinia (University of Tehran), S. Omid Fatemi (University of Tehran),Daniele Lorenzi (Alpen-Adria Universität Klagenfurt), Farzad Tashtarian (Alpen-Adria Universität Klagenfurt),  Christian Timmerer (Alpen-Adria Universität Klagenfurt) Abstract: Live user-generated content (UGC) has increased significantly in video streaming applications. Improving the quality of experience (QoE) for users is a crucial consideration in UGC live streaming, where a user […]

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Reza Farahani presented our poster at the 29th International European Conference on Parallel and Distributed Computing (EURO-PAR 2023), Limassol, Cyprus.

Title: Designing A Sustainable Serverless Graph Processing Tool on the Computing Continuum Abstract: Graph processing has become increasingly popular and essential for solving complex problems in various domains, like social networks. However, processing graphs at a massive scale poses critical challenges, such as inefficient resource and energy utilization. To bridge such challenges, the Graph-Massivizer project, […]

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Kurt Horvath presented his work at EURO-PAR 2023

Kurt Horvath presented the paper titled A distributed geofence-based discovery scheme for the computing Continuum at 29th International European Conference on Parallel and Distributed Computing (EURO-PAR 2023) Authors: Kurt Horvath, Dragi Kimovski, Christoph Uran, Helmut Wöllik, and Radu Prodan Abstract: Service discovery is a vital process that enables low latency provisioning of Internet of Things […]

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Uni Klagenfurt forscht an energieeffizienter Datenverarbeitung

An der Universität Klagenfurt wird aktuell daran geforscht, wie große Datenmengen energieeffizienter verarbeitet werden können. Die digitale Übertragung von Informationen verbrauche Energie. Wissenschafter aus zwölf Institutionen forschen an der effizienteren Verarbeitung dieser sogenannten “massive graphs”, wie es in einer Aussendung des Projektteams am Mittwoch hieß. Ziel sei unter anderem ein Energielabel für Software-Codes einzuführen. “Das […]

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Paper accepted: Towards Cloud Storage Tier Optimization with Rule-based Classification

Title: Towards Cloud Storage Tier Optimization with Rule-based Classification Authors: Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman and Ahmet Soylu Link: ESOCC 2023 (10th European Conference On Service-Oriented And Cloud Computing) Abstract: Cloud storage adoption has been increasing, since more and more data is being produced with particularly high […]

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ARTICONF Decentralized Social Media Platform for Democratic Crowd Journalism

Title: ARTICONF Decentralized Social Media Platform for Democratic Crowd Journalism Authors: Ines Rito Lima, Vasco Filipe, Claudia Marinho, Alexandre Ulisses, Antorweep Chakravorty, Atanas Hristov, Nishant Saurabh, Zhiming Zhao, Ruyue Xin, Radu Prodan Social Network Analysis and Mining https://www.springer.com/journal/13278 Abstract: Media production and consumption behaviors are changing in response to new technologies and demands, giving birth […]

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Paper accepted in IEEE Internet Computing Magazine

Title: Beyond von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions Authors: Kimovski, Dragi; Saurabh, Nishant; Jansen, Matthijs; Aral, Atakan; Al-Dulaimy, Auday; Bondi, Andre; Galletta, Antonino; Papadopoulos, Alessandro; Iosup, Alexandru; Prodan, Radu Abstract: The article discusses the emerging non-von Neumann computer architectures and their integration in the computing continuum for supporting modern distributed applications, including artificial […]

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Sahar Nasirihaghighi presented at CBMS 2023

Sahar Nasirihaghighi presented the paper titled “Action Recognition in Video Recordings from Gynecology Laparoscopy” at IEEE 36th International Symposium on Computer-Based Medical Systems 2023. Authors: Sahar Nasirihaghighi, Negin Ghamsarian, Daniela Stefanics, Klaus Schoeffmann and Heinrich Husslein Abstract: Action recognition is a prerequisite for many applications in laparoscopic video analysis including but not limited to surgical training, operation […]

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Radu Prodan talks at 4th edition of the Data Science International Summer School supported by ASE International Relations!

Speakers: Dan Nicolae (University of Chicago, USA), Razvan Bunescu (University of North Carolina at Charlotte, USA), Anna Fensel Wageningen University & Research, the Netherlands), Radu Prodan (University of Klagenfurt, Austria), Ioan Toma (Onlim GmbH, Austria), Dumitru Roman (SINTEF / University of Oslo, Norway), Dr. Pawel Gasiorowski (Sofia University – GATE Institute, Bulgaria, and London Metropolitan […]