Benefits of Pod dimensioning with best-effort resources in bare metal cloud native deployments
Journal article, 2023

Container orchestration platforms automatically adjust resources to evolving traffic conditions. However, these scaling mechanisms are reactive and may lead to service degradation. Traditionally, resource dimensioning has been performed considering guaranteed (or request) resources. Recently, container orchestration platforms included the possibility of allocating idle (or limit) resources for a short time in a best-effort fashion. This paper analyzes the potential of using limit resources as a way to mitigate degradation while reducing the number of allocated request resources. Results show that a 25% CPU reduction can be achieved by relying on limit resources.

soft-hard isolation

Pod dimensioning

Pod as a Service

service degradation

Cloud native services

IaaS

Best-effort resources

Kubernetes

Author

Federico Tonini

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Carlos Natalino Da Silva

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Dagnachew Temesgene

Ericsson

Zere Ghebretensae

Ericsson

Lena Wosinska

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Paolo Monti

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Networking Letters

2576-3156 (ISSN)

Automation of Network edge Infrastructure & Applications with aRtificiAl intelligence, ANIARA

VINNOVA (2020-00763), 2020-06-15 -- 2023-10-31.

Subject Categories

Computer Engineering

Communication Systems

Computer Systems

Areas of Advance

Information and Communication Technology

DOI

10.1109/LNET.2023.3235106

More information

Latest update

9/15/2023