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Decentralized Self-Adaptive Computing at the Edge
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-2935-6583
2018 (English)In: 2018 IEEE/ACM 13TH International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), IEEE, 2018, p. 144-148Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, computing infrastructures are usually deployed in fully controlled environments and managed in a centralized fashion. Leveraging on centralized infrastructures prevent the system to deal with scalability and performance issues, which are inherent to modern large-scale data-intensive applications. On the other hand, we envision fully decentralized computing infrastructures deployed at the edge of the network providing the required support for operating data-intensive systems. However, engineering such systems raises many challenges, as decentralization introduces uncertainty, which in turn may harm the dependability of the system. To this end, self-adaptation is a key approach to manage uncertainties at runtime and satisfy the requirements of decentralized data-intensive systems. This paper shows the research directions and current contributions towards this vision by (i) evaluating the impact of the distribution of computational entities, (ii) engineering decentralized computing through self-adaptation and, (iii) evaluating decentralized and self-adaptive applications.

Place, publisher, year, edition, pages
IEEE, 2018. p. 144-148
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-81107DOI: 10.1145/3194133.3194160ISI: 000458799600018Scopus ID: 2-s2.0-85051500592ISBN: 978-1-4503-5715-9 (print)OAI: oai:DiVA.org:lnu-81107DiVA, id: diva2:1296474
Conference
13th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS),Gothenburg, May 28-29, 2018
Available from: 2019-03-15 Created: 2019-03-15 Last updated: 2019-08-29Bibliographically approved

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D'Angelo, Mirko

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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