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Communication Dans Un Congrès Année : 2021

S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams

Résumé

The explosive increase in volume, velocity, variety, and veracity of data generated by distributed and heterogeneous nodes such as IoT and other devices, continuously challenge the state of art in big data processing platforms and mining techniques. Consequently, it reveals an urgent need to address the ever-growing gap between this expected exascale data generation and the extraction of insights from these data. To address this need, this position paper proposes Stream to Cloud & Edge (S2CE), a first of its kind, optimized, multi-cloud and edge orchestrator, easily configurable, scalable, and extensible. S2CE will enable machine and deep learning over voluminous and heterogeneous data streams running on hybrid cloud and edge settings, while offering the necessary functionalities for practical and scalable processing: data fusion and preprocessing, sampling and synthetic stream generation, cloud and edge smart resource management, and distributed processing.

Dates et versions

hal-04468419 , version 1 (20-02-2024)

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Citer

Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet. S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS 2021 : 15th ACM International Conference on Distributed and Event-based Systems, Virtual Event, Italy, June 28 - July 2, 2021, Jun 2021, Milan (Italie) Virtuel, Italy. pp.103--113, ⟨10.1145/3465480.3466926⟩. ⟨hal-04468419⟩
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