Oakestra: an orchestration framework for edge computing

Giovanni Bartolomeo; Simon Bäurle; Nitinder Mohan; Jörg Ott

doi:10.1145/3546037.3546056

Oakestra: an orchestration framework for edge computing

Giovanni Bartolomeo, Simon Bäurle, Nitinder Mohan, Jörg Ott

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Edge computing enables developers to deploy their services on compute resources deployed closer to the users. The abstraction requires powerful orchestration capabilities and the resolution of complex optimization problems. While edge computing is a consistently growing trend, the community (research and industry) still largely embraces adaptations and extensions of existing cloud technologies that have been proven ineffective on edge (e.g. Kubernetes). In this work, we present Oakestra, a novel hierarchical orchestration framework specifically designed for supporting service operation over heterogeneous edge infrastructures. In this demonstration, we showcase the various features and operations of Oakestra using our latency-critical augmented reality (AR) application.

Original language	English
Title of host publication	Proceedings of the SIGCOMM '22 Poster and Demo Sessions
Place of Publication	New York, NY, USA
Publisher	ACM
Pages	34–36
Number of pages	3
ISBN (Electronic)	9781450394345
ISBN (Print)	9781450394345
DOIs	https://doi.org/10.1145/3546037.3546056
Publication status	Published - 2022
Externally published	Yes

Publication series

Name	SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022

Keywords

edge computing
orchestration framework
resource management

Access to Document

10.1145/3546037.3546056

Cite this

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title = "Oakestra: an orchestration framework for edge computing",

abstract = "Edge computing enables developers to deploy their services on compute resources deployed closer to the users. The abstraction requires powerful orchestration capabilities and the resolution of complex optimization problems. While edge computing is a consistently growing trend, the community (research and industry) still largely embraces adaptations and extensions of existing cloud technologies that have been proven ineffective on edge (e.g. Kubernetes). In this work, we present Oakestra, a novel hierarchical orchestration framework specifically designed for supporting service operation over heterogeneous edge infrastructures. In this demonstration, we showcase the various features and operations of Oakestra using our latency-critical augmented reality (AR) application.",

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doi = "10.1145/3546037.3546056",

language = "English",

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}

Oakestra: an orchestration framework for edge computing. / Bartolomeo, Giovanni; Bäurle, Simon; Mohan, Nitinder et al.
Proceedings of the SIGCOMM '22 Poster and Demo Sessions. New York, NY, USA: ACM, 2022. p. 34–36 (SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - Edge computing enables developers to deploy their services on compute resources deployed closer to the users. The abstraction requires powerful orchestration capabilities and the resolution of complex optimization problems. While edge computing is a consistently growing trend, the community (research and industry) still largely embraces adaptations and extensions of existing cloud technologies that have been proven ineffective on edge (e.g. Kubernetes). In this work, we present Oakestra, a novel hierarchical orchestration framework specifically designed for supporting service operation over heterogeneous edge infrastructures. In this demonstration, we showcase the various features and operations of Oakestra using our latency-critical augmented reality (AR) application.

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BT - Proceedings of the SIGCOMM '22 Poster and Demo Sessions

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Oakestra: an orchestration framework for edge computing

Abstract

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Keywords

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