Blockchain as a Platform for Fog Computing

Research outputpeer-review

Abstract

In this article, we observe the prospective approaches and techniques in the modern system of automatic control of a group of robots based on distributed ledger technology, using modern methods and development tools. The architecture of this solution is based on the junction of two rapidly developing technologies, such as the Internet of Things (IoT) and distributed ledgers technologies (DLT). We focused on the advantages of the built-in architecture, chose the platforms on which each step will work properly, and looked up at the problems that may arise when implementing individual module of this architecture.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2019
Subtitle of host publication19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II
PublisherSpringer
Pages596-605
ISBN (Electronic)978-3-030-24296-1
ISBN (Print)978-3-030-24295-4
DOIs
Publication statusPublished - 1 Jul 2019
Event19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg
Duration: 1 Jul 20194 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume11620
ISSN (Print)0302-9743

Conference

Conference19th International Conference on Computational Science and Its Applications, ICCSA 2019
CountryRussian Federation
CitySaint Petersburg
Period1/07/194/07/19

Fingerprint

Fog
Computing
Internet of Things
Automatic Control
Choose
Robot
Robots
Module
Architecture

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Podsevalov, I., Iakushkin, O., Kurbangaliev, R., & Korkhov, V. (2019). Blockchain as a Platform for Fog Computing. In Computational Science and Its Applications – ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II (pp. 596-605). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11620). Springer. https://doi.org/10.1007/978-3-030-24296-1_48
Podsevalov, Ivan ; Iakushkin, Oleg ; Kurbangaliev, Ruslan ; Korkhov, Vladimir. / Blockchain as a Platform for Fog Computing. Computational Science and Its Applications – ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II. Springer, 2019. pp. 596-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Podsevalov, I, Iakushkin, O, Kurbangaliev, R & Korkhov, V 2019, Blockchain as a Platform for Fog Computing. in Computational Science and Its Applications – ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11620, Springer, pp. 596-605, Saint Petersburg, 1/07/19. https://doi.org/10.1007/978-3-030-24296-1_48

Blockchain as a Platform for Fog Computing. / Podsevalov, Ivan; Iakushkin, Oleg; Kurbangaliev, Ruslan; Korkhov, Vladimir.

Computational Science and Its Applications – ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II. Springer, 2019. p. 596-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11620).

Research outputpeer-review

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Podsevalov I, Iakushkin O, Kurbangaliev R, Korkhov V. Blockchain as a Platform for Fog Computing. In Computational Science and Its Applications – ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II. Springer. 2019. p. 596-605. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-24296-1_48