The GraphMassivizer plenary meeting is underway in #Walldorf, hosted by our valued partner metaphacts GmbH We’re thrilled to gather for three days of collaboration, sharing project results, and planning upcoming activities. Radu Prodan, Laurentiu Vasiliu, Irina Schmidt, Roberta Turra, Peter Haase, Richard Lloyd Stevens, Alexandru Iosup, Ana-Lucia Varbanescu, Nuria De Lama, Reza Farahani.
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 […]
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, […]
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 […]
A DEEP DIVE INTO VIDEO STREAMING AND GRAPH PROCESSING USE CASES More information
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 […]
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 […]
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 […]
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 […]
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 […]