Performance Analysis of Kubernetes-Based Data Distribution Service 


Vol. 49,  No. 10, pp. 1458-1465, Oct.  2024
10.7840/kics.2024.49.10.1458


PDF
  Abstract

Kubernetes has risen as a de-facto standard solution for the efficient deployment, administration, and resource allocations of containers. Concurrently, the data distribution service (DDS) serves as a critical middleware technology for real-time data dissemination and transmission using publisher-subscriber pattern. DDS has been adopted in mission critical applica- tions across a range of internet of things (IoT) applications, where ensuring data integrity and reliability is crucial. Given the increasing interest in utilizing container virtualization for IoT application deployment and management, this study aims to optimize DDS application architecture within a Kubernetes framework. To achieve this goal, this study evaluated the performance by implementing containerized versions of OpenDDS, an open-source DDS solution, and RTI Connext DDS, another DDS implementation. The findings of this investigation serve as a benchmark to assist users in selecting an ap- propriate DDS solution and configuring an optimal DDS environment for DDS application execution within a Kubernetes framework.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

E. Kim, Y. Choi, B. Song, H. Shin, D. Kim, Y. Kim, "Performance Analysis of Kubernetes-Based Data Distribution Service," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 10, pp. 1458-1465, 2024. DOI: 10.7840/kics.2024.49.10.1458.

[ACM Style]

Eojin Kim, Young Choi, Byungkwon Song, Hyery Shin, Deuk-Woo Kim, and Yongseong Kim. 2024. Performance Analysis of Kubernetes-Based Data Distribution Service. The Journal of Korean Institute of Communications and Information Sciences, 49, 10, (2024), 1458-1465. DOI: 10.7840/kics.2024.49.10.1458.

[KICS Style]

Eojin Kim, Young Choi, Byungkwon Song, Hyery Shin, Deuk-Woo Kim, Yongseong Kim, "Performance Analysis of Kubernetes-Based Data Distribution Service," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 10, pp. 1458-1465, 10. 2024. (https://doi.org/10.7840/kics.2024.49.10.1458)
Vol. 49, No. 10 Index

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880