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DOI: 10.4230/DagRep.9.1.104
URN: urn:nbn:de:0030-drops-105722
URL: http://drops.dagstuhl.de/opus/volltexte/2019/10572/
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Brodal, Gerth Stølting ; Meyer, Ulrich Carsten ; Nebel, Bernhard E. ; Sedgewick, Robert
Weitere Beteiligte (Hrsg. etc.): Gerth Stølting Brodal and Ulrich Carsten Meyer and Markus E. Nebel and Robert Sedgewick

Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051)

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dagrep_v009_i001_p104_19051.pdf (9 MB)


Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 16101 "Data Structures for the Cloud and External Memory Data". In today's computing environment vast amounts of data are processed, exchanged and analyzed. The manner in which information is stored profoundly influences the efficiency of these operations over the data. In spite of the maturity of the field many data structuring problems are still open, while new ones arise due to technological advances. The seminar covered both recent advances in the "classical" data structuring topics as well as new models of computation adapted to modern architectures, scientific studies that reveal the need for such models, applications where large data sets play a central role, modern computing platforms for very large data, and new data structures for large data in modern architectures. The extended abstracts included in this report contain both recent state of the art advances and lay the foundation for new directions within data structures research.

BibTeX - Entry

@Article{brodal_et_al:DR:2019:10572,
  author =	{Gerth St{\o}lting Brodal and Ulrich Carsten Meyer and Bernhard E. Nebel and Robert Sedgewick},
  title =	{{Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051)}},
  pages =	{104--124},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{1},
  editor =	{Gerth St{\o}lting Brodal and Ulrich Carsten Meyer and Markus E. Nebel and Robert Sedgewick},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10572},
  URN =		{urn:nbn:de:0030-drops-105722},
  doi =		{10.4230/DagRep.9.1.104},
  annote =	{Keywords: algorithms, big data, cloud computing, data structures, external memory methods, large data sets, web-scale}
}

Keywords: algorithms, big data, cloud computing, data structures, external memory methods, large data sets, web-scale
Seminar: Dagstuhl Reports, Volume 9, Issue 1
Issue Date: 2019
Date of publication: 19.06.2019


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