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SA-Chord: A Self-Adaptive P2P Overlay Network
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-2935-6583
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0001-6981-0966
2018 (English)In: Proceedings. 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems: FAS*W 2018. 3–7 September 2018 Trento, Italy, Los Alamitos, CA: IEEE, 2018, p. 118-123Conference paper, Published paper (Refereed)
Abstract [en]

Pure Edge Computing relies on peer-to-peer overlay networks to realize the communication backbone between participating entities. In these settings, entities are characterized by high heterogeneity, mobility, and variability, which introduce runtime uncertainty and may harm the dependability of the network. Departing from state-of-the-art solutions, overlay networks for Pure Edge Computing should take into account the dynamics of the operating environment and self-adapt their topology accordingly, in order to increase the dependability of the communication. To this end, this paper discusses the preliminary development and validation of SA-Chord, a self-adaptive version of the wellknown Chord protocol, able to adapt the network topology according to a given global goal. SA-Chord has been validated through simulation against two distinct goals: (i) minimize energy consumption and, (ii) maximize network throughput. Simulation results are promising and show how SA-Chord efficiently and effectively achieves a given goal.

Place, publisher, year, edition, pages
Los Alamitos, CA: IEEE, 2018. p. 118-123
Keywords [en]
overlay network, self-adaptive systems
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-81426DOI: 10.1109/FAS-W.2018.00035ISI: 000469065900024Scopus ID: 2-s2.0-85061557398ISBN: 978-1-5386-5175-9 (print)OAI: oai:DiVA.org:lnu-81426DiVA, id: diva2:1300668
Conference
2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), Trento, Italy, Sep 3-7, 2018
Available from: 2019-03-29 Created: 2019-03-29 Last updated: 2019-08-29Bibliographically approved

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D'Angelo, MirkoCaporuscio, Mauro

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other locale
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Output format
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