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Challenges in High Performance Big Data Frameworks
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
Lund University, Sweden.
2018 (English)In: 4th International Workshop on Autonomic High Performance Computing AHPC 2018, 2018, p. 153-156Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, we live in a society with billions of devices that are interconnected and interact together to improve the quality of our lives. The management and processing of information and knowledge have by now become our main resources, and the fundamental factors of economic and social development, and it is achieved through Big Data Frameworks (BDFs). The amount of such data is becoming larger every day, and this calls for scalable and reliable BDFs, that can process such data also with real-time requirements. For example, the data collected by an autonomous car should be processed, combined, and interpreted as fast as possible in order to guarantee a safe interaction with the surrounding environment, and of the passengers. 

This paper analyses the main limitations of current BDFs while providing some key challenges for increasing their flexibility. In particular, we focus on performance aspects, envisioning adaptation as a viable way to automate and improve performance in Big Data Applications.

Place, publisher, year, edition, pages
2018. p. 153-156
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-40859DOI: 10.1109/HPCS.2018.00039ISI: 000450677700023Scopus ID: 2-s2.0-85057371047ISBN: 978-1-5386-7879-4 (print)OAI: oai:DiVA.org:mdh-40859DiVA, id: diva2:1249853
Conference
4th International Workshop on Autonomic High Performance Computing AHPC 2018, 16 Jul 2018, Orleans, France
Projects
Future factories in the CloudAvailable from: 2018-09-20 Created: 2018-09-20 Last updated: 2019-01-04Bibliographically approved

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Papadopoulos, Alessandro

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf