License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.OPODIS.2020.1
URN: urn:nbn:de:0030-drops-134863
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/13486/
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Felber, Pascal

Big Data Processing: Security and Scalability Challenges (Invited Talk)

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LIPIcs-OPODIS-2020-1.pdf (0.2 MB)

Abstract

The processing of large amonts of data requires significant computing power and scalable architectures. This trend makes the use of Cloud computing and off-premises data centres particularly attractive, but exposes companies to the risk of data theft. This is a key challenge toward exploiting public Clouds, as data represents for many companies their most valuable asset. In this talk, we will discuss about mechanisms to ensure secure and privacy-preserving Big Data processing on computing architectures supporting horizontal and vertical scalability.

BibTeX - Entry

@InProceedings{felber:LIPIcs:2021:13486,
  author =	{Pascal Felber},
  title =	{{Big Data Processing: Security and Scalability Challenges (Invited Talk)}},
  booktitle =	{24th International Conference on Principles of Distributed Systems (OPODIS 2020)},
  pages =	{1:1--1:1},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-176-4},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{184},
  editor =	{Quentin Bramas and Rotem Oshman and Paolo Romano},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/13486},
  URN =		{urn:nbn:de:0030-drops-134863},
  doi =		{10.4230/LIPIcs.OPODIS.2020.1},
  annote =	{Keywords: Big Data}
}

Keywords: Big Data
Collection: 24th International Conference on Principles of Distributed Systems (OPODIS 2020)
Issue Date: 2021
Date of publication: 25.01.2021

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