Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/22955
Title: S2CE: A hybrid cloud and edge orchestrator for mining exascale distributed streams
Authors: Kourtellis, Nicolas 
Herodotou, Herodotos 
Grzenda, Maciej 
Wawrzyniak, Piotr 
Bifet, Albert 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Data stream analysis;Edge analytics;Cloud analytics;Stream mining;Machine and deep learning
Issue Date: Jun-2021
Source: 15th ACM International Conference on Distributed and Event-Based Systems, 2021, 28 June - 2 July
Conference: ACM International Conference on Distributed and Event-Based Systems 
Abstract: 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 and 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.
URI: https://hdl.handle.net/20.500.14279/22955
ISBN: 9781450385558
DOI: 10.1145/3465480.3466926
Rights: © Copyright held by the owner/author(s).
Type: Conference Papers
Affiliation : Telefonica Research 
Cyprus University of Technology 
Warsaw University of Technology 
Lodz University of Technology 
University of Waikato 
Telecom Paris 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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