Oakestra: A Lightweight Hierarchical Orchestration Framework for Edge Computing


Giovanni Bartolomeo, Mehdi Yosofie, Simon Bäurle, Oliver Haluszczynski, Nitinder Mohan, and Jörg Ott, Technical University of Munich, Germany


Edge computing seeks to enable applications with strict latency requirements by utilizing resources deployed in diverse, dynamic, and possibly constrained environments closer to the users. Existing state-of-the-art orchestration frameworks (e.g. Kubernetes) perform poorly at the edge since they were designed for reliable, low latency, high bandwidth cloud environments. We present Oakestra, a hierarchical, lightweight, flexible, and scalable orchestration framework for edge computing. Through its novel federated three-tier resource management, delegated task scheduling, and semantic overlay networking, Oakestra can flexibly consolidate multiple infrastructure providers and support applications over dynamic variations at the edge. Our comprehensive evaluation against the state-of-the-art demonstrates the significant benefits of Oakestra as it achieves approximately tenfold reduction in resource usage through reduced management overhead and 10% application performance improvement due to lightweight operation over constrained hardware.

USENIX ATC '23 Open Access Sponsored by
King Abdullah University of Science and Technology (KAUST)

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@inproceedings {288798,
author = {Giovanni Bartolomeo and Mehdi Yosofie and Simon B{\"a}urle and Oliver Haluszczynski and Nitinder Mohan and J{\"o}rg Ott},
title = {Oakestra: A Lightweight Hierarchical Orchestration Framework for Edge Computing},
booktitle = {2023 USENIX Annual Technical Conference (USENIX ATC 23)},
year = {2023},
isbn = {978-1-939133-35-9},
address = {Boston, MA},
pages = {215--231},
url = {https://www.usenix.org/conference/atc23/presentation/bartolomeo},
publisher = {USENIX Association},
month = jul

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