Standard

L3NS : Large Scale Network Simulation for Testing Distributed Applications. / Malevanniy, Daniil; Iakushkin, Oleg; Korkhov, Vladimir.

Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings. ред. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Ana Maria A.C. Rocha; Chiara Garau. Springer Nature, 2022. стр. 639-649 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 13380 LNCS).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Malevanniy, D, Iakushkin, O & Korkhov, V 2022, L3NS: Large Scale Network Simulation for Testing Distributed Applications. в O Gervasi, B Murgante, S Misra, AMAC Rocha & C Garau (ред.), Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 13380 LNCS, Springer Nature, стр. 639-649, 22nd International Conference on Computational Science and Its Applications, Malaga, Испания, 4/07/22. https://doi.org/10.1007/978-3-031-10542-5_44

APA

Malevanniy, D., Iakushkin, O., & Korkhov, V. (2022). L3NS: Large Scale Network Simulation for Testing Distributed Applications. в O. Gervasi, B. Murgante, S. Misra, A. M. A. C. Rocha, & C. Garau (Ред.), Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings (стр. 639-649). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 13380 LNCS). Springer Nature. https://doi.org/10.1007/978-3-031-10542-5_44

Vancouver

Malevanniy D, Iakushkin O, Korkhov V. L3NS: Large Scale Network Simulation for Testing Distributed Applications. в Gervasi O, Murgante B, Misra S, Rocha AMAC, Garau C, Редакторы, Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings. Springer Nature. 2022. стр. 639-649. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-031-10542-5_44

Author

Malevanniy, Daniil ; Iakushkin, Oleg ; Korkhov, Vladimir. / L3NS : Large Scale Network Simulation for Testing Distributed Applications. Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings. Редактор / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Ana Maria A.C. Rocha ; Chiara Garau. Springer Nature, 2022. стр. 639-649 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{40d9f75150d3423f91a3c86aeac9ca99,
title = "L3NS: Large Scale Network Simulation for Testing Distributed Applications",
abstract = "Complex distributed applications are highly depended on the quality of service of the underlying networks connecting their components. Common approaches for testing these applications may not be sufficient to ensure stability of a distributed system during networking issues. In this paper we try to explore the possibility of using lightweight virtualization for distributed application testing. Our approach is to use a set of tools provided by the Docker containerization platform to build a virtual network model of arbitrary topology with the tested application running inside. We explore scalability of this approach both when using one or more computers for modelling and try to show how the use of the developed simulation system named L3NS can allow developers to test and benchmark large-scale distributed systems e.g. blockchain networks.",
keywords = "Containerization, Distributed applications, Network simulator",
author = "Daniil Malevanniy and Oleg Iakushkin and Vladimir Korkhov",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 22nd International Conference on Computational Science and Its Applications , ICCSA 2022 ; Conference date: 04-07-2022 Through 07-07-2022",
year = "2022",
doi = "10.1007/978-3-031-10542-5_44",
language = "English",
isbn = "9783031105418",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "639--649",
editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Rocha, {Ana Maria A.C.} and Chiara Garau",
booktitle = "Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings",
address = "Germany",
url = "https://iccsa.org/",

}

RIS

TY - GEN

T1 - L3NS

T2 - 22nd International Conference on Computational Science and Its Applications , ICCSA 2022

AU - Malevanniy, Daniil

AU - Iakushkin, Oleg

AU - Korkhov, Vladimir

N1 - Conference code: 22

PY - 2022

Y1 - 2022

N2 - Complex distributed applications are highly depended on the quality of service of the underlying networks connecting their components. Common approaches for testing these applications may not be sufficient to ensure stability of a distributed system during networking issues. In this paper we try to explore the possibility of using lightweight virtualization for distributed application testing. Our approach is to use a set of tools provided by the Docker containerization platform to build a virtual network model of arbitrary topology with the tested application running inside. We explore scalability of this approach both when using one or more computers for modelling and try to show how the use of the developed simulation system named L3NS can allow developers to test and benchmark large-scale distributed systems e.g. blockchain networks.

AB - Complex distributed applications are highly depended on the quality of service of the underlying networks connecting their components. Common approaches for testing these applications may not be sufficient to ensure stability of a distributed system during networking issues. In this paper we try to explore the possibility of using lightweight virtualization for distributed application testing. Our approach is to use a set of tools provided by the Docker containerization platform to build a virtual network model of arbitrary topology with the tested application running inside. We explore scalability of this approach both when using one or more computers for modelling and try to show how the use of the developed simulation system named L3NS can allow developers to test and benchmark large-scale distributed systems e.g. blockchain networks.

KW - Containerization

KW - Distributed applications

KW - Network simulator

UR - http://www.scopus.com/inward/record.url?scp=85135939313&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/753d6357-f9c1-3637-ba37-3fe865f4c0f6/

U2 - 10.1007/978-3-031-10542-5_44

DO - 10.1007/978-3-031-10542-5_44

M3 - Conference contribution

AN - SCOPUS:85135939313

SN - 9783031105418

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 639

EP - 649

BT - Computational Science and Its Applications- ICCSA 2022 Workshops, Proceedings

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Rocha, Ana Maria A.C.

A2 - Garau, Chiara

PB - Springer Nature

Y2 - 4 July 2022 through 7 July 2022

ER -

ID: 98810775