Rheem: Enabling multi-platform task execution

Divy Agrawal; Lamine Ba; Laure Berti-Equille; Sanjay Chawla; Ahmed Elmagarmid; Hossam Hammady; Yasser Idris; Zoi Kaoudi; Zuhair Khayyat; Sebastian Kruse; Mourad Ouzzani; Paolo Papotti; Jorge Arnulfo Quiané-Ruiz; Nan Tang; Mohammed J. Zaki

doi:10.1145/2882903.2899414

Rheem: Enabling multi-platform task execution

Divy Agrawal, Lamine Ba, Laure Berti-Equille, Sanjay Chawla, Ahmed Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki

Computing and Augmented Intelligence, School of (IAFSE-SCAI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

29 Scopus citations

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.

Original language	English (US)
Title of host publication	SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data
Publisher	Association for Computing Machinery
Pages	2069-2072
Number of pages	4
ISBN (Electronic)	9781450335317
DOIs	https://doi.org/10.1145/2882903.2899414
State	Published - Jun 26 2016
Event	2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016 - San Francisco, United States Duration: Jun 26 2016 → Jul 1 2016

Publication series

Name	Proceedings of the ACM SIGMOD International Conference on Management of Data
Volume	26-June-2016
ISSN (Print)	0730-8078

Conference

Conference	2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016
Country/Territory	United States
City	San Francisco
Period	6/26/16 → 7/1/16

ASJC Scopus subject areas

Software
Information Systems

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10.1145/2882903.2899414

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Agrawal, D., Ba, L., Berti-Equille, L., Chawla, S., Elmagarmid, A., Hammady, H., Idris, Y., Kaoudi, Z., Khayyat, Z., Kruse, S., Ouzzani, M., Papotti, P., Quiané-Ruiz, J. A., Tang, N., & Zaki, M. J. (2016). Rheem: Enabling multi-platform task execution. In SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data (pp. 2069-2072). (Proceedings of the ACM SIGMOD International Conference on Management of Data; Vol. 26-June-2016). Association for Computing Machinery. https://doi.org/10.1145/2882903.2899414

Rheem: Enabling multi-platform task execution. / Agrawal, Divy; Ba, Lamine; Berti-Equille, Laure et al.
SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery, 2016. p. 2069-2072 (Proceedings of the ACM SIGMOD International Conference on Management of Data; Vol. 26-June-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Agrawal, D, Ba, L, Berti-Equille, L, Chawla, S, Elmagarmid, A, Hammady, H, Idris, Y, Kaoudi, Z, Khayyat, Z, Kruse, S, Ouzzani, M, Papotti, P, Quiané-Ruiz, JA, Tang, N & Zaki, MJ 2016, Rheem: Enabling multi-platform task execution. in SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, vol. 26-June-2016, Association for Computing Machinery, pp. 2069-2072, 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016, San Francisco, United States, 6/26/16. https://doi.org/10.1145/2882903.2899414

Agrawal D, Ba L, Berti-Equille L, Chawla S, Elmagarmid A, Hammady H et al. Rheem: Enabling multi-platform task execution. In SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery. 2016. p. 2069-2072. (Proceedings of the ACM SIGMOD International Conference on Management of Data). doi: 10.1145/2882903.2899414

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Rheem: Enabling multi-platform task execution

Abstract

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