Methodology for Automating and Orchestrating Performance Evaluation of Kubernetes Container Network Interfaces DOI Creative Commons
Vedran Dakić,

Jasmin Redžepagić,

Matej Bašić

et al.

Computers, Journal Year: 2024, Volume and Issue: 13(11), P. 283 - 283

Published: Nov. 1, 2024

Maintaining a fast, low-latency network must be balanced in the demanding world of High-Performance Computing (HPC). Any compromise performance can severely affect distributed HPC applications, leading to bottlenecks that undermine entire system’s efficiency. This paper highlights critical need for precise and consistent evaluation Kubernetes Container Network Interfaces (CNIs) ensure workloads operate at their full potential. Traditional manual methods evaluating bandwidth latency are time-consuming prone errors, making them inadequate rigorous demands environments. To address this, we introduce novel approach leverages Ansible automate standardize process across diverse CNIs, profiles, configurations. By eliminating human error ensuring replicability, this method significantly enhances reliability assessments. The playbooks developed enable efficient deployment, configuration, execution CNIs evaluations, providing robust framework Kubernetes-based infrastructures meet stringent requirements applications. is vital safeguarding integrity workloads, configurations do not cripple them.

Language: Английский

Evaluating the Quality of Open Source Ansible Playbooks: An Executability Perspective DOI
Pemsith Mendis, W.E. Reeves, Muhammad Ali Babar

et al.

Published: July 10, 2024

Language: Английский

Citations

1
Methodology for Automating and Orchestrating Performance Evaluation of Kubernetes Container Network Interfaces DOI Creative Commons
Vedran Dakić,

Jasmin Redžepagić,

Matej Bašić

et al.

Computers, Journal Year: 2024, Volume and Issue: 13(11), P. 283 - 283

Published: Nov. 1, 2024

Maintaining a fast, low-latency network must be balanced in the demanding world of High-Performance Computing (HPC). Any compromise performance can severely affect distributed HPC applications, leading to bottlenecks that undermine entire system’s efficiency. This paper highlights critical need for precise and consistent evaluation Kubernetes Container Network Interfaces (CNIs) ensure workloads operate at their full potential. Traditional manual methods evaluating bandwidth latency are time-consuming prone errors, making them inadequate rigorous demands environments. To address this, we introduce novel approach leverages Ansible automate standardize process across diverse CNIs, profiles, configurations. By eliminating human error ensuring replicability, this method significantly enhances reliability assessments. The playbooks developed enable efficient deployment, configuration, execution CNIs evaluations, providing robust framework Kubernetes-based infrastructures meet stringent requirements applications. is vital safeguarding integrity workloads, configurations do not cripple them.

Language: Английский

Citations

0