Entries by Roland Mathá

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ITEC@AAU coordinates the project Kärntner Fog

The project “Kärntner Fog: A 5G-Enabled Fog Infrastructure for Automated Operation of Carinthia’s 5G Playground Application Use Cases” proposes a new infrastructure automation use case in the 5G Playground Carinthia (5GPG). Kärntner Fog plans to create and deploy a distributed service middleware infrastructure over a diverse set of novel heterogeneous 5G edge devices, complemented by […]


Start der Kooperation des build! mit dem IIIT-Kottayam Startup Center

Dr. Shajulin Benedict war 2019 an der Alpen Adria Universität Klagenfurt im Rahmen einer Forschungskooperation tätig. Heute ist es soweit, die Kooperation des build! mit dem IIIT-Kottayam Startup Center startet. Build! startet 2021 mit einem Startup in Residence Programm (geplanter Rollout Sommer) – erster Partner ist Indien. Ein Austausch für Entrepreneurs in Startups zwischen Kottayam […]

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Paper accepted in IEEE Internet Computing: “Cloud, Fog or Edge: Where to Compute?”

The manuscript “Cloud, Fog or Edge: Where to Compute?” has been accepted for publication in an upcoming issue of IEEE Internet Computing. Authors: Dragi Kimovski, Roland Mathá, Josef Hammer, Narges Mehran, Hermann Hellwagner and Radu Prodan Abstract: The computing continuum extends the high-performance cloud data centers with energy-efficient and low-latency devices close to the data […]

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Paper accepted in IEEE UCC

IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC) accepted the paper “Dynamic Multi-objective Scheduling of Microservices in the Cloud”. Authors: Hamid Mohammadi Fard, Radu Prodan, Felix Wolf Abstract: For many applications, a microservices architecture promises better performance and flexibility compared to a conventional monolithic architecture. In spite of the advantages of a microservices […]

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Paper accepted in the 10th IEEE Conference on Big Data and Cloud Computing: “Cloud — Edge Offloading Model for Vehicular Traffic Analysis”

Authors: Dragi Kimovski, Dijana C. Bogatinoska, Narges Mehran, Aleksandar Karadimce, Natasha Paunkoska, Radu Prodan, Ninoslav Marina Abstract: The proliferation of smart sensing and computing devices, capable of collecting a vast amount of data, has made the gathering of the necessary vehicular traffic data relatively easy. However, the analysis of these big data sets requires computational […]

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FFG project “ADaptive and Autonomous data Performance connectivity and decentralized Transport decision-making Network” (ADAPT) accepted

This project started during the most critical phase of the COVID-19 outbreak in Europe where the demand for Personal Protective Equipment (PPE) from each country’s health care system has surpassed national stock amounts by far. Therefore, the ADAPT consortia agreed to bundle its joint resources to develop and adaptive and autonomous decision-making network to support […]