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New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote)

Published: 25 June 2018 Publication History

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References

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A. Elmore, J. Duggan, M. Stonebraker, M. Balazinska, U. Cetintemel, V. Gadepally, J. Heer, B. Howe, J. Kepner, T. Kraska, S. Madden, D. Maier, T. Mattson, S. Papadopoulos, J. Parkhurst, N. Tatbul, M. Vartak, and S. Zdonik. 2015. A Demonstration of the BigDAWG Polystore System. The Proceedings of the VLDB Endowment (PVLDB) 8, 12 (August 2015).
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T. J. Lee, J. Gottschlich, N. Tatbul, E. Metcalf, and S. Zdonik. 2018. Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection. https://arxiv.org/abs/1801.03168/. In Inaugural Conference on Systems and Machine Learning (SysML'18). Stanford, CA, USA.
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T. J. Lee, J. Gottschlich, N. Tatbul, E. Metcalf, and S. Zdonik. 2018. Precision and Recall for Range-Based Anomaly Detection. https://arxiv.org/abs/1801.03175/. In Inaugural Conference on Systems and Machine Learning (SysML'18). Stanford, CA, USA.
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J. Meehan, C. Aslantas, S. Zdonik, N. Tatbul, and J. Du. 2017. Data Ingestion for the Connected World. In Conference on Innovative Data Systems Research (CIDR'17). Chaminade, CA, USA.
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J. Meehan, N. Tatbul, S. Zdonik, C. Aslantas, U. Cetintemel, J. Du, T. Kraska, S. Madden, D. Maier, A. Pavlo, M. Stonebraker, K. Tufte, and H. Wang. 2015. S-Store: Streaming Meets Transaction Processing. The Proceedings of the VLDB Endowment (PVLDB) 8, 13 (September 2015).
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J. Meehan, S. Zdonik, S. Tian, Y. Tian, N. Tatbul, A. Dziedzic, and A. Elmore. 2016. Integrating Real-Time and Batch Processing in a Polystore. In IEEE High Performance Extreme Computing Conference (HPEC'16). Waltham, MA, USA.

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  1. New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote)

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    cover image ACM Conferences
    DEBS '18: Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems
    June 2018
    289 pages
    ISBN:9781450357821
    DOI:10.1145/3210284
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 25 June 2018

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    Author Tags

    1. Anomaly Detection
    2. Prediction
    3. Streams
    4. Time Series
    5. Transactions

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    DEBS '18 Paper Acceptance Rate 12 of 31 submissions, 39%;
    Overall Acceptance Rate 145 of 583 submissions, 25%

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