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Big Graph Processing Systems (Dagstuhl Seminar 19491)

Authors: Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt

Published in: Dagstuhl Reports, Volume 9, Issue 12 (2020)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 19491 "Big Graph Processing Systems". We are just beginning to understand the role graph processing could play in our society. Data is not just getting bigger, but, crucially, also more connected. Exploring, describing, predicting, and explaining real- and digital-world phenomena is increasingly relying on abstractions that can express interconnectedness. Graphs are such an abstraction. They can model naturally the complex relationships, interactions, and interdependencies between objects. However, after initial success, graph processing systems are struggling to cope with the new scale, diversity, and other real-world needs. The Dagstuhl Seminar 19491 aims to addresses the question: How could the next decade look like for graph processing systems? To identify the opportunities and challenges of graph processing systems over the next decade, we met in December 2019 with circa 40 high-quality and diverse researchers for the Dagstuhl Seminar on Big Graph Processing Systems. A main strength of this seminar is the combination of the data management and large-scale systems communities. The seminar was successful, and addressed in particular topics around graph processing systems: ecosystems, abstractions and other fundamental theory, and performance.

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Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt. Big Graph Processing Systems (Dagstuhl Seminar 19491). In Dagstuhl Reports, Volume 9, Issue 12, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{bonifati_et_al:DagRep.9.12.1,
  author =	{Bonifati, Angela and Iosup, Alexandru and Sakr, Sherif and Voigt, Hannes},
  title =	{{Big Graph Processing Systems (Dagstuhl Seminar 19491)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{Bonifati, Angela and Iosup, Alexandru and Sakr, Sherif and Voigt, Hannes},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12.1},
  URN =		{urn:nbn:de:0030-drops-120098},
  doi =		{10.4230/DagRep.9.12.1},
  annote =	{Keywords: Abstractions, Big Data, Big Graph, data management, Ecosystems, graph processing, Performance, systems, Theory}
}

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DOI: 10.4230/DagRep.7.10.111

Big Stream Processing Systems (Dagstuhl Seminar 17441)

Authors: Tilmann Rabl, Sherif Sakr, and Martin Hirzel

Published in: Dagstuhl Reports, Volume 7, Issue 10 (2018)

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.

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Tilmann Rabl, Sherif Sakr, and Martin Hirzel. Big Stream Processing Systems (Dagstuhl Seminar 17441). In Dagstuhl Reports, Volume 7, Issue 10, pp. 111-138, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{rabl_et_al:DagRep.7.10.111,
  author =	{Rabl, Tilmann and Sakr, Sherif and Hirzel, Martin},
  title =	{{Big Stream Processing Systems (Dagstuhl Seminar 17441)}},
  pages =	{111--138},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{10},
  editor =	{Rabl, Tilmann and Sakr, Sherif and Hirzel, Martin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.10.111},
  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}
}

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Big Graph Processing Systems (Dagstuhl Seminar 19491)

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