Processing big events with showers and streams

Christoph Doblander, Tilmann Rabl, Hans Arno Jacobsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


Emerging use cases derived from the area of cloud computing, smart power grids, and business process management require a set of capabilities not met by traditional event processing systems. These use cases were chosen to illustrate the capabilities required from systems that are able to process what we refer to as Big Events, that is Big Data in motion. To further illustrate Big Events, we identify three use cases and analyze the characteristics of the events involved. Based on this analysis, we specify requirements regarding the event schema, event query language, historic event processing needs, event timing, and result accuracy. Collectively, we refer to the constellation of state changes in a given system that exhibits these characteristics as event showers, referring to the collective of these events, similar to the notion of an event stream in the context of event stream processing. We call systems that offer capabilities for meeting these requirements event shower processing systems in contrast to traditional event (stream) processing systems. The use cases we picked, demonstrate that additional value can be captured by having shower processing systems in place. The benefits lie in the new possibilities to gain additional insights, increase observability, and to further exert control and opportunities for optimizations in the given applications.

Original languageEnglish
Title of host publicationSpecifying Big Data Benchmarks - First Workshop, WBDB 2012, and Second Workshop, WBDB 2012, Revised Selected Papers
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783642539732
StatePublished - 2014
Externally publishedYes
Event2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012 - Pune, India
Duration: 17 Dec 201218 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8163 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012


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