Best Paper Award at CCGrid 2021
The paper “A Two-Sided Matching Model for Data Stream Processing in the Cloud–Fog Continuum” won the best paper award at CCGrid 2021.
The paper “A Two-Sided Matching Model for Data Stream Processing in the Cloud–Fog Continuum” won the best paper award at CCGrid 2021.
ADAPT started with the online Kickoff meeting, coordinated by Prof. Radu Prodan.
Prof. Radu Prodan has been nominated as Management Committee (MC) Member CA19135 at COST (European Cooperation in Science & Technologie).
Conference: 15th International Conference on Research Challenges in Information Science Title : DataCloud: Enabling the Big Data Pipelines on the Computing Continuum Authors: Dumitru Roman, Nikolay Nikolov, Brian Elvesæter, Ahmet Soylu, Radu Prodan, Dragi Kimovski, Andrea Marrella, Francesco Leotta, Dario Benvenuti, Mihhail Matskin, Giannis Ledakis, Anthony Simonet-Boulogne, Fernando Perales, Evgeny Kharlamov, Alexandre Ulisses, Arnor Solberg and Raffaele Ceccarelli
Prof. Radu Prodan is a keynote speaker at Memphis DATA 2021, 25th-26th March 2021. Talk Abstract: We live in a digital world estimated to host around 4 billion Internet users and 10 billion of mobile connections generating 2.5 billion billion of data every day. Managing and extracting value from this sheer amount of raw data requires deep […]
Title: WELFake: Word Embedding over Linguistic Features for Fake News Detection Authors: Pawan Kumar Verma (Lovely Professional University, India | GLA University, India), Prateek Agrawal (University of Klagenfurt, Austria | Lovely Professional University, India), Ivone Amorin (MOG Technologies | University of Porto, Portugal), Radu Prodan (University of Klagenfurt, Austria) Abstract: Social media is a popular medium for dissemination […]
The full paper has been accepted to the main-track of the International Conference on Computational Science (ICCS’21). Conference will be organized in a virtual format on 16-18 June, 2021. Title: Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum Authors: Vladislav Kashansky, Gleb Radchenko, Radu Prodan Abstract: This article proposes an approach to the problem of computational […]
The paper “Multilayer Resource-aware Partitioning for Fog Application Placement” has been accepted for publication at the 5th IEEE international conference on Fog and Edge computing 2021 (ICFEC 2021) , with an acceptance rate of 17% for regular papers. Authors: Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan Abstract: Fog computing emerged as a crucial platform for the deployment of IoT […]
The paper “A Two-Sided Matching Model for Data Stream Processing in the Cloud–Fog Continuum” has been accepted for publication at the 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021). Authors: Narges Mehran, Dragi Kimovski, and Radu Prodan Abstract: Latency-sensitive and bandwidth-intensive stream processing applications are dominant traffic generators over the Internet network. A […]
The C3 Lab research team participated on the H2020 DataCloud kick-off meeting.