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URN: urn:nbn:de:0030-drops-147821
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Investigation of Database Models for Evolving Graphs

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Abstract

We deal with the efficient implementation of storage models for time-varying graphs. To this end, we present an improved approach for the HiNode vertex-centric model based on MongoDB. This approach, apart from its inherent space optimality, exhibits significant improvements in global query execution times, which is the most challenging query type for entity-centric approaches. Not only significant speedups are achieved but more expensive queries can be executed as well, when compared to an implementation based on Cassandra due to the capability to exploit indices to a larger extent and benefit from in-database query processing.

BibTeX - Entry

@InProceedings{spitalas_et_al:LIPIcs.TIME.2021.6,
  author =	{Spitalas, Alexandros and Gounaris, Anastasios and Tsichlas, Kostas and Kosmatopoulos, Andreas},
  title =	{{Investigation of Database Models for Evolving Graphs}},
  booktitle =	{28th International Symposium on Temporal Representation and Reasoning (TIME 2021)},
  pages =	{6:1--6:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-206-8},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{206},
  editor =	{Combi, Carlo and Eder, Johann and Reynolds, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14782},
  URN =		{urn:nbn:de:0030-drops-147821},
  doi =		{10.4230/LIPIcs.TIME.2021.6},
  annote =	{Keywords: Temporal Graphs, Indexing}
}

Keywords: Temporal Graphs, Indexing
Seminar: 28th International Symposium on Temporal Representation and Reasoning (TIME 2021)
Issue date: 2021
Date of publication: 16.09.2021
Supplementary Material: Software (Source Code): https://github.com/alexspitalas/HiNode-MongoDB


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