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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2007.01260.pdf | Fulltext | 2.22 MB | Adobe PDF | View/Open |
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