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StreamNetFlux: birth of transparent integrated CEP-DBs

Published: 12 July 2010 Publication History

Abstract

CEP and Databases have traditionally been viewed as two separate entities, the first one oriented towards real-time event processing and the second one oriented towards long-term management of data. But in fact many real-time data and business intelligence analysis do need to confront streaming data with long-term stored one. For instance, how do today's sales compare with last year's sales for the same day? We demonstrate StreamNetFlux, a new system being commercialized that integrates CEP and databases in a way that is smooth and transparent to the user. Our demonstration will show that the new system is able to process queries that need such capabilities in an integrated fashion and with top efficiency and scalability features. The demonstration will use a Telco case study and will show that not only the system is able to provide integrated processing, as it is also extremely efficient and scalable.

References

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"IBM Research | IBM Research | Exploratory Stream Processing Systems" http://domino.research.ibm.com/comm/research_projects.nsf/pages/esps.index.html
[2]
B. Gedik, H. Andrade, K. Wu, P. S. Yu, e M. Doo, "SPADE: the system s declarative stream processing engine," Proceedings of the 2008 ACM SIGMOD international conference on Management of data, Vancouver, Canada: ACM, 2008, pp. 1123--1134.
[3]
TIBCO Business Events, "http://www.tibco.com/software/complex-event-processing/businessevents/default.jsp."
[4]
"Truviso Data Analysis", http://truviso.com/products/
[5]
"Aleri & Coral8 Merge | Aleri." http://www.aleri.com/products/aleri-cep
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Streambase", http://www.streambase.com/
[7]
"Complex Event Processing", http://www.oracle.com/technologies/soa/complex-event-processing.html
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"Esper - Complex Event Processing.", http://esper.codehaus.org
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"Vertica- Telecom Data Warehouse Solutions & Resources", http://www.vertica.com/telecommunications/resources

Cited By

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  • (2012)A Highly Efficient Consolidated Platform for Stream Computing and HadoopProceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum10.1109/IPDPSW.2012.252(2026-2034)Online publication date: 21-May-2012

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cover image ACM Conferences
DEBS '10: Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
July 2010
303 pages
ISBN:9781605589275
DOI:10.1145/1827418
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: 12 July 2010

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  • (2012)A Highly Efficient Consolidated Platform for Stream Computing and HadoopProceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum10.1109/IPDPSW.2012.252(2026-2034)Online publication date: 21-May-2012

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