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abstract

Smooth Task Migration in Apache Storm

Published:27 May 2015Publication History

ABSTRACT

Task migration happens when distributed data processing systems scale in real-time. To handle the task migration process more gracefully, we propose three task migration methods: (i) worker level migration, (ii) executor level migration, and (iii) executor level migration with reliable messaging. We implement our migration methods on Apache Storm. Our experiments show that, compared with Storm's original migration implementation, our methods significantly reduce the performance degradation and the number of task failures during each migration.

References

  1. Apache storm. http://storm.apache.org.Google ScholarGoogle Scholar
  2. R. Castro Fernandez, M. Migliavacca, E. Kalyvianaki, and P. Pietzuch. Integrating scale out and fault tolerance in stream processing using operator state management. In SIGMOD 2013, pages 725--736. ACM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. T. Heinze, Z. Jerzak, G. Hackenbroich, and C. Fetzer. Latency-aware elastic scaling for distributed data stream processing systems. In DEBS 2014, pages 13--22. ACM, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Schneider, H. Andrade, B. Gedik, A. Biem, and K.-L. Wu. Elastic scaling of data parallel operators in stream processing. In IPDPS 2009, pages 1--12, May 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Smooth Task Migration in Apache Storm

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    • Published in

      cover image ACM Conferences
      SIGMOD '15: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
      May 2015
      2110 pages
      ISBN:9781450327589
      DOI:10.1145/2723372

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 May 2015

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      Acceptance Rates

      SIGMOD '15 Paper Acceptance Rate106of415submissions,26%Overall Acceptance Rate785of4,003submissions,20%

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