Comparative analysis on containers based on kubernetes, Docker swarm, open shift and Mesos

Title

Comparative analysis on containers based on kubernetes, Docker swarm, open shift and Mesos

Creator

Muthakshi, S.; Rajalakshmi, K.; Helen Josephine, V.L.

Description

Cloud Computing has become increasingly common to use cloud computing solutions for Big Data processing because of their vast variety of computer resources and ability to extend over multiple cloud platforms. The rapid growth of the Internet of Things (IoT) concept has sparked this development. A traditional approach of cloud organisation is virtualization, which uses virtual computers and containers. It is impossible to overestimate the importance of lightweight cloud infrastructure for microservices. Many academics have proposed container-based virtualized computing services as a result of this. Container technology has risen in prominence as a viable alternative to traditional virtual machines in recent years. There is need to exploit high-level services such as orchestration. In this paper, we compare performance of various container orchestrators like Kubernetes, Dockswarm, Openshift and Mesos. 2025 IEEE.

Source

Proceedings of the 2025 11th International Conference on Communication and Signal Processing, ICCSP 2025;pp.1398-1402

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Cloud computing; Container orchestrators; Dockswarm; Kubernetes; Openshift and Mesos

Coverage

Muthakshi S., M.O.P Vaishnav College for Women (Autonomous), Department of Computer Science and Information Technology, Chennai, India; Rajalakshmi K., C.M.R. Institute of Technology, Department of M.C.A., Bangalore, India; Helen Josephine V.L., Christ University, School of Business and Management, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-166545736-1;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCSP64183.2025.11088783

https://www.scopus.com/pages/publications/105013456915?origin=resultslist