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GINSENG Data Processing Framework

  • Chapter
Reasoning in Event-Based Distributed Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 347))

Abstract

For many applications guided by sensor networks, such as production automation and health monitoring, an efficient data processing with performance assurance is crucial, especially for metrics such as delay and reliability. Our study of current middleware approaches showed that they do not allow a sophisticated complex event processing, neither the performance monitoring. In this chapter we present the GINSENG middleware architecture that provides a 3-tier data processing framework to exploit the benefits of basic publish/subscribe systems, traditional event stream processing and complex business rule processing. Furthermore, the GINSENG middleware architecture provides performance control mechanisms, i.e., monitoring metrics and improvement methods, both of the underlying sensor network and the middleware itself. Finally, it supports the constraints of industrial environments by allowing for the distributed middleware deployment and data processing.

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Author information

Authors and Affiliations

  1. SAP Research Dresden, Chemnitzer Straße 48, 01187, Dresden, Germany

    Zbigniew Jerzak, Anja Klein & Gregor Hackenbroich

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  1. Zbigniew Jerzak
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  2. Anja Klein
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  3. Gregor Hackenbroich
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Editors and Affiliations

  1. Dept. of Computer Science and Inf. Systems, University of London, Birkbeck Malet Street, WC1E 7HX, London, UK

    Sven Helmer

  2. London Knowledge Lab, University of London , Birkbeck 23-29 Emerald Street, WC1N 3QS, London, UK

    Alexandra Poulovassilis  & Fatos Xhafa  & 

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Jerzak, Z., Klein, A., Hackenbroich, G. (2011). GINSENG Data Processing Framework. In: Helmer, S., Poulovassilis, A., Xhafa, F. (eds) Reasoning in Event-Based Distributed Systems. Studies in Computational Intelligence, vol 347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19724-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-19724-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19723-9

  • Online ISBN: 978-3-642-19724-6

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