Nowadays there is an increasing trend in the volume and velocity of data, typically consumed by data-intensive AI/ML-based services, requiring a larger diffusion of more effective Edge computing approaches. In addition, we are experiencing an increment of critical applications using an increasing volume of sensitive data and requiring advanced security and privacy protections. 5G Edge technology can foster a more diffused Edge computing adoption but several challenges in terms of interoperability. Handling data-intensive pipelines on the 5G-enabled Edge continuum, considering specific QoS requirements including security and privacy, is still in its infancy. In this paper, we propose an initial solution for deploying a data-intensive pipeline in a 5G-enabled Edge continuum satisfying specific QoS requirements. Our approach is based on a QoS-aware meta orchestration modeling of a given pipeline and an orchestration builder generating deployable Edge-specific orchestrations. In this paper, we also present an initial walkthrough scenario in the context of a wet lab analysis pipeline to be deployed on the 5G-enabled Edge continuum.

Orchestration of data-intensive pipeline in 5G-enabled Edge Continuum / M. Anisetti, F. Berto, M. Banzi - In: 2022 IEEE World Congress on Services (SERVICES)[s.l] : IEEE, 2022. - ISBN 978-1-6654-8131-1. - pp. 2-10 (( convegno SERVICES tenutosi a Barcelona nel 2022 [10.1109/SERVICES55459.2022.00025].

Orchestration of data-intensive pipeline in 5G-enabled Edge Continuum

M. Anisetti
Primo
;
F. Berto
Secondo
;
2022

Abstract

Nowadays there is an increasing trend in the volume and velocity of data, typically consumed by data-intensive AI/ML-based services, requiring a larger diffusion of more effective Edge computing approaches. In addition, we are experiencing an increment of critical applications using an increasing volume of sensitive data and requiring advanced security and privacy protections. 5G Edge technology can foster a more diffused Edge computing adoption but several challenges in terms of interoperability. Handling data-intensive pipelines on the 5G-enabled Edge continuum, considering specific QoS requirements including security and privacy, is still in its infancy. In this paper, we propose an initial solution for deploying a data-intensive pipeline in a 5G-enabled Edge continuum satisfying specific QoS requirements. Our approach is based on a QoS-aware meta orchestration modeling of a given pipeline and an orchestration builder generating deployable Edge-specific orchestrations. In this paper, we also present an initial walkthrough scenario in the context of a wet lab analysis pipeline to be deployed on the 5G-enabled Edge continuum.
5G; Edge; QoS; data-intensive pipeline; Orchestration; Cloud
Settore INF/01 - Informatica
RL_DG-UNI20PRISO_01 - MIND FoodS HUB - RISO, PATRIZIA - RL_DG-UNI - Bandi DG Università, ricerca e open innovation - 2020
PSR 2021 - GSA - Linea 4
https://ieeexplore.ieee.org/document/9860308
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/937506
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