The DEBS 2016 grand challenge

Vincenzo Gulisano, Zbigniew Jerzak, Spyros Voulgaris, Holger Ziekow

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

Abstract

The DEBS Grand Challenge is a series of challenges which address problems in event stream processing. The focus of the Grand Challenge in 2016 is on processing of data streams that originate from social networks. Hence, the data represents an evolving graph structure. With this challenge we take up the general scenario and data source from the 2014 SIGMOD contest. However, in contrasts to the SIGMOD contest, the DEBS grand challenge explicitly focuses on continuous processing of streaming data and thus dynamic changes in graphs. This paper describes the specifics of the data streams and continuous queries that define the DEBS Grand Challenge 2016.

Original languageEnglish
Title of host publicationDEBS 2016 - Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems
PublisherAssociation for Computing Machinery, Inc
Pages289-292
Number of pages4
ISBN (Electronic)9781450340212
DOIs
Publication statusPublished - 13 Jun 2016
Event10th ACM International Conference on Distributed and Event-Based Systems, DEBS 2016 - Irvine, United States
Duration: 20 Jun 201624 Jun 2016

Conference

Conference10th ACM International Conference on Distributed and Event-Based Systems, DEBS 2016
Country/TerritoryUnited States
CityIrvine
Period20/06/1624/06/16

Keywords

  • Event processing
  • Graph
  • Social network
  • Streaming

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