Load-Aware Container Orchestration on Kubernetes Clusters

Angelo Marchese, Orazio Tomarchio

2024

Abstract

Microservice Architecture is quickly becoming popular for building extensive applications designed for deployment in dispersed and resource-constrained cloud-to-edge computing settings. Being a cloud-native technology, the real strength of microservices lies in their loosely connected, autonomously deployable, and scalable features, facilitating distributed deployment and flexible integration across powerful cloud data centers to heterogeneous and often constrained edge nodes. Hence, there is a need to devise innovative placement algorithms that leverage these microservice features to enhance application performance. To address these issues, we propose extending Kubernetes with a load-aware orchestration strategy, enhancing its capability to deploy microservice applications within shared clusters characterized by dynamic resource usage patterns. Our approach dynamically orchestrates applications based on runtime resource usage, continuously adjusting their placement. The results, obtained by evaluating a prototype of our system in a testbed environment, show significant advantages over the vanilla Kubernetes scheduler.

Paper Citation

in Harvard Style

Marchese A. and Tomarchio O. (2024). Load-Aware Container Orchestration on Kubernetes Clusters. In Proceedings of the 14th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER; ISBN 978-989-758-701-6, SciTePress, pages 92-102. DOI: 10.5220/0012738800003711

in Bibtex Style

@conference{closer24,
author={Angelo Marchese and Orazio Tomarchio},
title={Load-Aware Container Orchestration on Kubernetes Clusters},
booktitle={Proceedings of the 14th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER},
year={2024},
pages={92-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012738800003711},
isbn={978-989-758-701-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER
TI - Load-Aware Container Orchestration on Kubernetes Clusters
SN - 978-989-758-701-6
AU - Marchese A.
AU - Tomarchio O.
PY - 2024
SP - 92
EP - 102
DO - 10.5220/0012738800003711
PB - SciTePress