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The PipeFlow approach

Published: 24 June 2015 Publication History

Abstract

In this paper, we present a description of our solution for solving the DEBS Grand Challenge 2015 that targets the analysis of taxi trips. Our implementation of this challenge is based on a general-purpose stream processing system called PipeFlow, which is designed and implemented to efficiently process continuous queries over high volume/speed data streams with low latency. Moreover, we present an experimental evaluation to show the effectiveness of the proposed solution with respect to query throughput and latency.

References

[1]
Z. Jerzak and H. Ziekow. The DEBS 2015 Grand Challenge. In DEBS, June 2015.
[2]
O. Saleh, H. Betz, and K.-U. Sattler. Partitioning for scalable complex event processing on data streams. In ADBIS, pages 185--197. 2014.
[3]
O. Saleh and K.-U. Sattler. On efficient processing of linked stream data. In OTM, pages 700--717. 2014.

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  1. The PipeFlow approach

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    cover image ACM Conferences
    DEBS '15: Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems
    June 2015
    385 pages
    ISBN:9781450332866
    DOI:10.1145/2675743
    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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    Publication History

    Published: 24 June 2015

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    Author Tags

    1. DEBS grand challenge
    2. PipeFlow
    3. stream processing

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