The logical structure of the underlying network is often neglected in the design and deployment of new distributed systems and sometimes can come into play only after the system reach the production state. This can lead to the vulnerability of the system against intruders controlling the properties of the network. This paper describes a simulation system designed to analyze the influence of the logical structure and quality of the network service on a distributed systems workflow and their general testing during unstable network operation. This system allows developers to detect network vulnerabilities of distributed systems in advance and simplifies further development with regard to new findings.

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
EditorsSanjay Misra, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Vladimir Korkhov, Carmelo Torre, Eufemia Tarantino, Ana Maria A.C. Rocha, David Taniar, Bernady O. Apduhan
Place of PublicationCham
PublisherSpringer Nature
Pages587-595
Number of pages9
ISBN (Electronic)978-3-030-24296-1
ISBN (Print)978-3-030-24295-4
DOIs
StatePublished - Jul 2019
Event19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Russian Federation
Duration: 1 Jul 20194 Jul 2019
Conference number: 19

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
Abbreviated titleICCSA 2019
Country/TerritoryRussian Federation
CitySaint Petersburg
Period1/07/194/07/19

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Containerization, Distributed computing, Modeling

ID: 45182523