This paper is published in Volume-9, Issue-2, 2023
Area
Computer Science
Author
Ben-Salem Banguena E., Dr. T. Uma Devi
Org/Univ
Gandhi Institute of Technology and Management University, Visakhapatnam, Andhra Pradesh, India
Keywords
Cluster, Container, Federation, Kubefed, Kubernetes, Virtualization.
Citations
IEEE
Ben-Salem Banguena E., Dr. T. Uma Devi. Performance evaluation of Kubernetes cluster federation using Kubefed, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ben-Salem Banguena E., Dr. T. Uma Devi (2023). Performance evaluation of Kubernetes cluster federation using Kubefed. International Journal of Advance Research, Ideas and Innovations in Technology, 9(2) www.IJARIIT.com.
MLA
Ben-Salem Banguena E., Dr. T. Uma Devi. "Performance evaluation of Kubernetes cluster federation using Kubefed." International Journal of Advance Research, Ideas and Innovations in Technology 9.2 (2023). www.IJARIIT.com.
Ben-Salem Banguena E., Dr. T. Uma Devi. Performance evaluation of Kubernetes cluster federation using Kubefed, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ben-Salem Banguena E., Dr. T. Uma Devi (2023). Performance evaluation of Kubernetes cluster federation using Kubefed. International Journal of Advance Research, Ideas and Innovations in Technology, 9(2) www.IJARIIT.com.
MLA
Ben-Salem Banguena E., Dr. T. Uma Devi. "Performance evaluation of Kubernetes cluster federation using Kubefed." International Journal of Advance Research, Ideas and Innovations in Technology 9.2 (2023). www.IJARIIT.com.
Abstract
We have entered the multi-cloud and hybrid age. The inevitable trend in cloud computing is application-oriented multi-cloud and multi-cluster architecture. Today's cloud applications must abide by a wide range of laws and rules. It is doubtful that a single cluster can follow all the rules. The scope of compliance for each cluster is decreased by the multiple cluster technique. We can move workloads between Kubernetes suppliers to benefit from new features and costs. This paper aims to describe an integration between multiple clusters running on the same cloud and evaluate their performance based on the Kubernetes Cluster Federation system. Some experimental evaluations were carried out with this goal in mind (Cloud Evaluation Experiment Methodology – CEEM) to monitor system resource behavior and availability, including network, disk, CPU, and memory. The test environment consists of a manually deployed Kubernetes cluster that was created. Azure Kubernetes Service (AKS) is the Cloud service provider considered. The Cluster Federation was performed using the Kubernetes Cluster Federation (KubeFed).