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: https://drops.dagstuhl.de/opus/volltexte/2021/13486/
Felber, Pascal
Big Data Processing: Security and Scalability Challenges (Invited Talk)
| pdf-format: |
|
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 | |
| Seminar: | 24th International Conference on Principles of Distributed Systems (OPODIS 2020) | |
| Issue date: | 2021 | |
| Date of publication: | 25.01.2021 |
