Article

PIPES: a public infrastructure for processing and exploring streams

Authors:

Jürgen Krämer,

Bernhard SeegerAuthors Info & Claims

SIGMOD '04: Proceedings of the 2004 ACM SIGMOD international conference on Management of data

Pages 925 - 926

https://doi.org/10.1145/1007568.1007699

Published: 13 June 2004 Publication History

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Abstract

PIPES is a flexible and extensible infrastructure providing fundamental building blocks to implement a data stream management system (DSMS). It is seamlessly integrated into the Java library XXL [1, 2, 3] for advanced query processing and extends XXL's scope towards continuous data-driven query processing over autonomous data sources.

References

[1]

The XXL / PIPES Project. http://www.mathematik.uni-marburg.de/DBS/xxl/.

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[2]

J. Bercken, B. Blohsfeld, J.-P. Dittrich, J. Krämer, T. Schäfer, M. Schneider, and B. Seeger. XXL - A Library Approach to Supporting Efficient Implementations of Advanced Database Queries. In Proc. of the Conf. on Very Large Databases (VLDB), pages 39--48, 2001.

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[3]

M. Cammert, C. Heinz, J. Krämer, M. Schneider, and B. Seeger. A Status Report on XXL - a Software Infrastructure for Efficient Query Processing. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 26(2):12--18, 2003.

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Cited By

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Cardinale YFreites GValderrama EAguilera AAngsuchotmetee C(2021)Semantic framework of event detection in emergency situations for smart buildingsDigital Communications and Networks10.1016/j.dcan.2021.06.005Online publication date: Jul-2021
https://doi.org/10.1016/j.dcan.2021.06.005
Jacobs SWang XCarey MTsotras VUddin M(2020)BAD to the bone: Big Active Data at its coreThe VLDB Journal10.1007/s00778-020-00616-7Online publication date: 23-May-2020
https://doi.org/10.1007/s00778-020-00616-7
Angsuchotmetee CChbeir RChbeir RAgrawal RBiskri I(2016)A survey on complex event definition languages in multimedia sensor networksProceedings of the 8th International Conference on Management of Digital EcoSystems10.1145/3012071.3012098(99-108)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1145/3012071.3012098
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PIPES: a public infrastructure for processing and exploring streams
1. Information systems
  1. Data management systems
    1. Database management system engines
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory

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Information & Contributors

Information

Published In

SIGMOD '04: Proceedings of the 2004 ACM SIGMOD international conference on Management of data

June 2004

988 pages

ISBN:1581138598

DOI:10.1145/1007568

Conference Chairs:
Arnd Christian König
Microsoft Research
,
Stefan Dessloch
University of Kaiserslautern, Germany
,
General Chair:
Patrick Valduriez
INRIA, France
,
Program Chair:
Gerhard Weikum
University of the Saarland

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: 13 June 2004

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SIGMOD/PODS04

Sponsor:

SIGMOD

SIGMOD/PODS04: International Conference on Management of Data and Symposium on Principles Database and Systems

June 13 - 18, 2004

Paris, France

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

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Cardinale YFreites GValderrama EAguilera AAngsuchotmetee C(2021)Semantic framework of event detection in emergency situations for smart buildingsDigital Communications and Networks10.1016/j.dcan.2021.06.005Online publication date: Jul-2021
https://doi.org/10.1016/j.dcan.2021.06.005
Jacobs SWang XCarey MTsotras VUddin M(2020)BAD to the bone: Big Active Data at its coreThe VLDB Journal10.1007/s00778-020-00616-7Online publication date: 23-May-2020
https://doi.org/10.1007/s00778-020-00616-7
Angsuchotmetee CChbeir RChbeir RAgrawal RBiskri I(2016)A survey on complex event definition languages in multimedia sensor networksProceedings of the 8th International Conference on Management of Digital EcoSystems10.1145/3012071.3012098(99-108)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1145/3012071.3012098
Carey MJacobs STsotras VGal AWeidlich MKalogeraki VVenkasubramanian N(2016)Breaking BADProceedings of the 10th ACM International Conference on Distributed and Event-based Systems10.1145/2933267.2933313(181-186)Online publication date: 13-Jun-2016
https://dl.acm.org/doi/10.1145/2933267.2933313
Surm HRussmeier NGrawunder MNicklas DZielinski O(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
https://doi.org/10.1109/MDM.2016.41
Zhu HWu G(2015)Study and Implementation of Elastic Stream Computing In The CloudProceedings of the 2015 International Conference on Network and Information Systems for Computers (ICNISC)10.1109/ICNISC.2015.104(322-326)Online publication date: 23-Jan-2015
https://dl.acm.org/doi/10.1109/ICNISC.2015.104
Teymourian KPaschke A(2015)Semantic Enrichment of Event Stream for Semantic Situation AwarenessSemantic Web10.1007/978-3-319-16658-2_10(185-212)Online publication date: 28-Aug-2015
https://doi.org/10.1007/978-3-319-16658-2_10
Behrend ASchmiegelt PXie JFehling RGhoneimy ALiu ZChan EGawlick D(2015)Temporal State Management for Supporting the Real-Time Analysis of Clinical DataNew Trends in Database and Information Systems II10.1007/978-3-319-10518-5_13(159-170)Online publication date: 2015
https://doi.org/10.1007/978-3-319-10518-5_13
Geesen DAppelrath HGrawunder MNicklas D(2014)Challenges for Personal Data Stream Management in Smart BuildingsCreating Personal, Social, and Urban Awareness through Pervasive Computing10.4018/978-1-4666-4695-7.ch009(201-219)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-4695-7.ch009
(2013)Compilation of ReferencesCreating Personal, Social, and Urban Awareness through Pervasive Computing10.4018/978-1-4666-4695-7.chcrf(0-0)Online publication date: 31-Oct-2013
https://doi.org/10.4018/978-1-4666-4695-7.chcrf
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