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Using odysseus for real-time analysis over high volume geospatial data streams

Published: 24 June 2015 Publication History

Abstract

In this paper, we provide a solution for the ACM DEBS Grand Challenge 2015 (GC 2015) that deals with the analysis of taxi trips in New York based on the data stream management framework Odysseus [1].

Reference

[1]
H.-J. Appelrath, D. Geesen, M. Grawunder, T. Michelsen, and D. Nicklas. Odysseus: a highly customizable framework for creating efficient event stream management systems. ACM DEBS 2012, pages 367--368. ACM, 2012.

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  • (2016)Experiences with Sensor-Based Research for Critical, Socio-technical Systems2016 17th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2016.41(214-219)Online publication date: Jun-2016

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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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2015

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Author Tags

  1. complex event processing
  2. grand challenge solution
  3. odysseus

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DEBS '15

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Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

View all
  • (2016)Experiences with Sensor-Based Research for Critical, Socio-technical Systems2016 17th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2016.41(214-219)Online publication date: Jun-2016

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