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    Rheem: Enabling Multi-Platform Task Execution

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    Type
    Conference Paper
    Authors
    Agrawal, Divy
    Kruse, Sebastian
    Ouzzani, Mourad
    Papotti, Paolo
    Quiane-Ruiz, Jorge-Arnulfo
    Tang, Nan
    Zaki, Mohammed J.
    Ba, Lamine
    Berti-Equille, Laure
    Chawla, Sanjay
    Elmagarmid, Ahmed
    Hammady, Hossam
    Idris, Yasser
    Kaoudi, Zoi
    Khayyat, Zuhair cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Date
    2016-06-16
    Online Publication Date
    2016-06-16
    Print Publication Date
    2016
    Permanent link to this record
    http://hdl.handle.net/10754/621289
    
    Metadata
    Show full item record
    Abstract
    Many emerging applications, from domains such as healthcare and oil & gas, require several data processing systems for complex analytics. This demo paper showcases Rheem, a framework that provides multi-platform task execution for such applications. It features a three-layer data processing abstraction and a new query optimization approach for multi-platform settings. We will demonstrate the strengths of Rheem by using real-world scenarios from three different applications, namely, machine learning, data cleaning, and data fusion. © 2016 ACM.
    Citation
    Agrawal D, Kruse S, Ouzzani M, Papotti P, Quiane-Ruiz J-A, et al. (2016) Rheem. Proceedings of the 2016 International Conference on Management of Data - SIGMOD ’16. Available: http://dx.doi.org/10.1145/2882903.2899414.
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
    Conference/Event name
    2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016
    DOI
    10.1145/2882903.2899414
    ae974a485f413a2113503eed53cd6c53
    10.1145/2882903.2899414
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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