License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.10.111
URN: urn:nbn:de:0030-drops-86650
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8665/
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Rabl, Tilmann ; Sakr, Sherif ; Hirzel, Martin
Weitere Beteiligte (Hrsg. etc.): Tilmann Rabl and Sherif Sakr and Martin Hirzel

Big Stream Processing Systems (Dagstuhl Seminar 17441)

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dagrep_v007_i010_p111_17441.pdf (3 MB)


Abstract

This report summarizes the Dagstuhl Seminar 17441 on "Big Stream Processing Systems" and documents its talks and discussions. The seminar brought together 29 researchers in various areas related to stream processing including systems, query languages, applications, semantic processing and benchmarking. The seminar program included four tutorials that have been delivered by experts in the various topics in addition to 29 lightening talks by the participants of the seminar. In this report, the abstracts of these talks are documented. Two working groups has been formed during the seminar. A report about the discussion outcomes of each group is presented in this report.

BibTeX - Entry

@Article{rabl_et_al:DR:2018:8665,
  author =	{Tilmann Rabl and Sherif Sakr and Martin Hirzel},
  title =	{{Big Stream Processing Systems (Dagstuhl Seminar 17441)}},
  pages =	{111--138},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{10},
  editor =	{Tilmann Rabl and Sherif Sakr and Martin Hirzel},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8665},
  URN =		{urn:nbn:de:0030-drops-86650},
  doi =		{10.4230/DagRep.7.10.111},
  annote =	{Keywords: Big Data,	Big Streams, Stream Processing Systems, Benchmarking, Declarative Programming}
}

Keywords: Big Data, Big Streams, Stream Processing Systems, Benchmarking, Declarative Programming
Collection: Dagstuhl Reports, Volume 7, Issue 10
Issue Date: 2018
Date of publication: 27.03.2018


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