Towards Cognitive Microservice Orchestration in the Multi-Cloud Continuum

The proliferation of decentralized applications calls for complex deployments across the highly heterogeneous Cloud Continuum, an overlay infrastructure encompassing traditional public/private clouds, fog clusters, and edge devices. Orchestrating distributed applications within such a non-uniform environment presents significant challenges, particularly in ensuring the fulfillment of critical Quality of Service (QoS) requirements. Achieving the objectives posed by this research challenge requires addressing several key needs, including the development of a robust system for virtualizing heterogeneous resources spanning multiple domains, the design of an intelligent scheduler capable of implementing deployment schemes that respect application-specific QoS requirements, and the provision of an orchestration mechanism that simplifies the task of specifying application functional and non-functional requirements for the application owners while automating the application roll-out. In this work we propose a framework that integrates existing tools that individually address the aforementioned needs by blending them in a unified manner. Preliminary experiments conducted on a software prototype demonstrate the feasibility of the proposed approach.

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Published
2025-12-08
DOI
https://doi.org/10.1145/3774898.3778038
Primary Topic
IoT and Edge/Fog Computing
Type
article
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article

Towards Cognitive Microservice Orchestration in the Multi-Cloud Continuum

Filippo Poltronieri, Stefano Galantino, Mauro Tortonesi, Luca Foschini et al.
IoT and Edge/Fog Computing
article

Towards Cognitive Microservice Orchestration in the Multi-Cloud Continuum

Filippo Poltronieri, Stefano Galantino, Mauro Tortonesi, Luca Foschini, Fulvio Risso, Giuseppe Modica, Umberto Ardinghi, Elisa Drudi
article en

Abstract

The proliferation of decentralized applications calls for complex deployments across the highly heterogeneous Cloud Continuum, an overlay infrastructure encompassing traditional public/private clouds, fog clusters, and edge devices. Orchestrating distributed applications within such a non-uniform environment presents significant challenges, particularly in ensuring the fulfillment of critical Quality of Service (QoS) requirements. Achieving the objectives posed by this research challenge requires addressing several key needs, including the development of a robust system for virtualizing heterogeneous resources spanning multiple domains, the design of an intelligent scheduler capable of implementing deployment schemes that respect application-specific QoS requirements, and the provision of an orchestration mechanism that simplifies the task of specifying application functional and non-functional requirements for the application owners while automating the application roll-out. In this work we propose a framework that integrates existing tools that individually address the aforementioned needs by blending them in a unified manner. Preliminary experiments conducted on a software prototype demonstrate the feasibility of the proposed approach.

Politecnico di Torino (IT), University of Ferrara (IT), University of Bologna (IT)
Openalex Percentile: Top 56%
IoT and Edge/Fog Computing
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Towards Cognitive Microservice Orchestration in the Multi-Cloud Continuum — Filippo Poltronieri, Stefano Galantino, et al. · (2025) | TGRS Research Map | TGRS