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Cloud-to-Thing continuum-based sports monitoring system using machine learning and deep learning model. [PDF]
Alshardan A +5 more
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Development of novel symbolic regression models for prediction of nano filters efficiency using CFD and DPM. [PDF]
Taghavi A, Farahani SD.
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Privacy-Preserving Hierarchical Fog Federated Learning (PP-HFFL) for IoT Intrusion Detection. [PDF]
Islam MM, Abdullah WM, Saha BN.
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On Distributed Computing Continuum Systems
IEEE Transactions on Knowledge and Data Engineering, 2023This article presents our vision on the need of developing new managing technologies to harness distributed computing continuum systems. These systems are concurrently executed in multiple computing tiers: Cloud, Fog, Edge and IoT. This simple idea develops manifold challenges due to the inherent complexity inherited from the underlying infrastructures
Dustdar, Schahram +2 more
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Distributed Computing Continuum Systems
2022 IEEE World Congress on Services (SERVICES), 2022Javid Taheri +3 more
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Edge Intelligence—Research Opportunities for Distributed Computing Continuum Systems
IEEE Internet Computing, 2023Victor Casamayor Pujol +4 more
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Distributed Computing Continuum Systems – Opportunities and Research Challenges
Lecture Notes in Computer Science, 2023Victor Casamayor Pujol +4 more
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A programming framework for distributed computing continuum systems
Science of Computer ProgrammingZhehao Zhao, Yifeng Chen
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The Promising Role of Representation Learning for Distributed Computing Continuum Systems
2022 IEEE International Conference on Service-Oriented System Engineering (SOSE), 2022Praveen Kumar Donta, Schahram Dustdar
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NebulOus will develop a novel Meta Operating System and platform for enabling transient fog brokerage ecosystems that seamlessly exploit edge and fog nodes, in conjunction with multi-cloud resources, to cope with the requirements posed by low latency applications. The NebulOuS project will also give the opportunity for selected teams to get to know its
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