TY - GEN

T1 - Modelling the interaction of distributed service systems components

AU - Iakushkin, Oleg

AU - Malevanniy, Daniil

AU - Pavlova, Ekaterina

AU - Fatkina, Anna

N1 - Funding Information: O. Iakushkin?This research was partially supported by the Russian Foundation for Basic Research grant (project no. 17-29-04288). Publisher Copyright: © Springer Nature Switzerland AG 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - The development of efficient distributed service systems places particular demands on interaction testing methods. It is required to consider not only the work of individual components at each stage of development but also their interaction as a system. Often, such testing is performed directly at the time of publishing the application with end-users. In this paper, we consider methods of emulating and testing distributed systems on limited resources available to individual developers. What to do with factors beyond the scope of tests of one application? How would the system behave when the network is unstable, and the third-party service does not work correctly? In this work, we present a new tool created to simulate the operation of a full-fledged service system and failure of its specific elements. The main feature of the solution we created is in the provision of abstraction for the developer, which does not require a deep understanding of the work of network infrastructures. It allows us to compare the work of several distributed applications under the same conditions, check the stability of the programme regarding the unstable operation of network elements, study the influence of the network structure on the of services behaviour and detect their vulnerabilities associated with interservice interaction.

AB - The development of efficient distributed service systems places particular demands on interaction testing methods. It is required to consider not only the work of individual components at each stage of development but also their interaction as a system. Often, such testing is performed directly at the time of publishing the application with end-users. In this paper, we consider methods of emulating and testing distributed systems on limited resources available to individual developers. What to do with factors beyond the scope of tests of one application? How would the system behave when the network is unstable, and the third-party service does not work correctly? In this work, we present a new tool created to simulate the operation of a full-fledged service system and failure of its specific elements. The main feature of the solution we created is in the provision of abstraction for the developer, which does not require a deep understanding of the work of network infrastructures. It allows us to compare the work of several distributed applications under the same conditions, check the stability of the programme regarding the unstable operation of network elements, study the influence of the network structure on the of services behaviour and detect their vulnerabilities associated with interservice interaction.

KW - Distributed applications

KW - Docker

KW - Modeling systems

KW - Network

UR - http://www.scopus.com/inward/record.url?scp=85092306688&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/ebc00c83-07a6-37a3-afa1-d7333827393b/

U2 - 10.1007/978-3-030-58808-3_5

DO - 10.1007/978-3-030-58808-3_5

M3 - Conference contribution

AN - SCOPUS:85092306688

SN - 9783030588076

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

SP - 48

EP - 57

BT - Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Garau, Chiara

A2 - Blecic, Ivan

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Rocha, Ana Maria A.C.

A2 - Tarantino, Eufemia

A2 - Torre, Carmelo Maria

A2 - Karaca, Yeliz

PB - Springer Nature

T2 - 20th International Conference on Computational Science and Its Applications, ICCSA 2020

Y2 - 1 July 2020 through 4 July 2020

ER -