Entries by Rudolf Messner

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Paper published at Frontiers in Robotics and AI: Information Distribution in Multi-Robot Systems: Generic, Utility-Aware Optimization Middleware

Authors: M. Barciś, A. Barciś, N. Tsiogkas, H. Hellwagner. Title: Information Distribution in Multi-Robot Systems: Generic, Utility-Aware Optimization Middleware. Frontiers in Robotics and AI 8:685105, July 2021. This work addresses the problem of what information is worth sending in a multi-robot system under generic constraints, e.g., limited throughput or energy. Our decision method is based […]

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Paper accepted at IEEE ACCESS: LwTE: Light-weight Transcoding at the Edge

Authors: Alireza Erfanian* (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt), Hadi Amirpour*, (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt), Farzad Tashtarian (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt),  Christian Timmerer (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt), Hermann Hellwagner (Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt) *These authors contributed equally to this work. Link: IEEE Access Abstract: Due to the growing demand for video […]

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Accepted Paper at IEEE 23rd International Workshop on Multimedia Signal Processing – INCEPT: INTRA CU Depth Prediction for HEVC

Title: INCEPT: INTRA CU Depth Prediction for HEVC IEEE 23rd International Workshop on Multimedia Signal Processing October 06–08, 2021, Tampere, Finland Authors: Vignesh V Menon (Alpen-Adria-Universitat Klagenfurt); Hadi Amirpour (Alpen-Adria-Universität Klagenfurt); Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Austria); Mohammad Ghanbari (University of Essex, UK). Abstract: High Efficiency Video Coding (HEVC) improves the encoding efficiency by utilizing sophisticated tools […]

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Paper accepted: A Distributed Delivery Architecture for User Generated Content Live Streaming over HTTP

Conference info: The 46th IEEE Conference on Local Computer Networks (LCN) October 4-7, 2021 Authors: Farzad Tashtarian (Alpen-Adria-Universität Klagenfurt), Abdelhak Bentaleb (National University of Singapore), Reza Farahani (Alpen-Adria-Universität Klagenfurt), Minh Nguyen (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), Hermann Hellwagner (Alpen-Adria-Universität Klagenfurt), and Roger Zimmermann (National University of Singapore) Abstract: Live User Generated Content (UGC) has become very popular […]

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Paper accepted – CSDN: CDN-Aware QoE Optimization in SDN-Assisted HTTP Adaptive Video Streaming

Conference info: The 46th IEEE Conference on Local Computer Networks (LCN) October 4-7, 2021 Authors: Reza Farahani (Alpen-Adria-Universität Klagenfurt), Farzad Tashtarian (Alpen-Adria-Universität Klagenfurt), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), Mohammad Ghanbari (School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK) and Hermann Hellwagner (Alpen-Adria-Universität Klagenfurt) Abstract: With the increasing demand […]

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FFG project “Kärntner Fog” accepted

The project “Kärntner Fog” has been accepted in the BRIDGE funding call of FFG. Abstract: Kärntner Fog aims to contribute with advanced technologies for the distributed optimized provisioning and operation of 5G applications in Austria. For this purpose, it researches and develops a unique infrastructure testbed called the Carinthian Computing Continuum (C3), consisting of heterogeneous […]

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Paper accepted in IEEE Transactions on Services Computing (TSC)

The manuscript “Mobility-Aware IoT Application Placement in the Cloud — Edge Continuum” has been accepted for publication in the A* (IF: 5.823) Journal – IEEE Transactions on Services Computing (TSC). Autors: Dragi Kimovski, Narges Mehran, Christopher Kerth, Radu Prodan Abstract: The Edge computing extension of the Cloud services towards the network boundaries raises important placement […]

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Paper about: Energy Consumption Analysis of R-Based Machine Learning Algorithms for Pandemic Predictions

  Authors: Shajulin Benedict, Prateek Agrawal, Radu Prodan Link: Advanced Informatics for Computing Research, CCIS-Springer, 4th ICAICR 2020, Vol. 1393 Abstract: The push for agile pandemic analytic solutions has attained development-stage software modules of applications instead of functioning as full-fledged production-stage applications – i.e., performance, scalability, and energy-related concerns are not optimized for the underlying […]