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Data Stream Application Manager (DSAM)

Published: 16 July 2012 Publication History

Abstract

We present our Data Stream Application Manager (DSAM). DSAM integrates different data stream management systems (DSMS) and also sensor network nodes. The user enters a query written in a system-independent declarative query language into a central control program. DSAM analyzes this query and distributes it to the available DSMSs. The distribution algorithm uses a cost model to minimize overall processing and transmission costs. The demo shows some scenarios in which DSAM can be used. We do not focus on concrete applications but on generic use-cases where DSAM may help users or application developers. One example is switching to a different DSMS without changing queries. Another example is the automatic integration of different DSMSs to make them appear just like one system.

References

[1]
M. Daum, F. Lauterwald, P. Baumgärtel, N. Pollner, and K. Meyer-Wegener. Black-box Determination of Cost Models' Parameters for Federated Stream-Processing Systems. In J. Bernardino, I. Cruz, and B. C. Desai, editors, Proceedings of the 15th International Database Engineering & Applications Symposium (IDEAS), pages 226--232, Lisbon, Portugal, Sept. 2011.
[2]
M. Daum, F. Lauterwald, P. Baumgärtel, N. Pollner, and K. Meyer-Wegener. Efficient and Cost-aware Operator Placement in Heterogeneous Stream-Processing Environments. In Proceedings of the 5th ACM International Conference on Distributed Event-Based Systems (DEBS), pages 393--394, New York, NY, USA, July 2011. ACM.
[3]
M. Daum, F. Lauterwald, M. Fischer, M. Kiefer, and K. Meyer-Wegener. Integration of Heterogeneous Sensor Nodes by Data Stream Management. In T. Hara, V. I. Zadorozhny, and E. Buchmann, editors, Wireless Sensor Network Technologies for the Information Explosion Era, volume 278 of Studies in Computational Intelligence, pages 139--172. Springer, 2010.
[4]
J. Polastre, R. Szewczyk, A. Mainwaring, D. Culler, and J. Anderson. Analysis of Wireless Sensor Networks for Habitat Monitoring. In C. S. Raghavendra, K. M. Sivalingam, and T. Znati, editors, Wireless Sensor Networks, pages 399--423. Springer US, 2004.

Cited By

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  • (2021)Data-sharing markets for integrating IoT data processing functionalitiesCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-020-00054-yOnline publication date: 26-Feb-2021

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Published In

cover image ACM Conferences
DEBS '12: Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
July 2012
410 pages
ISBN:9781450313155
DOI:10.1145/2335484

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2012

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Author Tags

  1. data stream processing management
  2. federated event-based systems
  3. heterogeneous systems
  4. operator distribution

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  • Demonstration

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DEBS '12

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Overall Acceptance Rate 145 of 583 submissions, 25%

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  • (2021)Data-sharing markets for integrating IoT data processing functionalitiesCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-020-00054-yOnline publication date: 26-Feb-2021

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