MIMO: a Framework for Extensible and Flexible Intent-based Workload Meta-Orchestration

The widespread adoption of cloud computing and its inter-connectivity with edge systems have enabled the creation of a true Computing Continuum, in which data-driven applications can be deployed dynamically to their optimal placement within the continuum, satisfying user-specified service-level requirements, commonly referred to as intents. In fact, intent-driven orchestration and meta-orchestration are increasingly popular across various scenarios beyond workload management, underscoring its versatility and potential.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.1145/3721889.3721921
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49

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article

MIMO: a Framework for Extensible and Flexible Intent-based Workload Meta-Orchestration

Liubov Nedoshivina, Stefano Braghin
1 citations
Distributed and Parallel Computing Systems
1.49
article

MIMO: a Framework for Extensible and Flexible Intent-based Workload Meta-Orchestration

Liubov Nedoshivina, Stefano Braghin
article en
1 citations

Abstract

The widespread adoption of cloud computing and its inter-connectivity with edge systems have enabled the creation of a true Computing Continuum, in which data-driven applications can be deployed dynamically to their optimal placement within the continuum, satisfying user-specified service-level requirements, commonly referred to as intents. In fact, intent-driven orchestration and meta-orchestration are increasingly popular across various scenarios beyond workload management, underscoring its versatility and potential.

IBM Research - Ireland (IE)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 18%
Distributed and Parallel Computing Systems
1.49
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MIMO: a Framework for Extensible and Flexible Intent-based Workload Meta-Orchestration — Liubov Nedoshivina, Stefano Braghin · (2025) | TGRS Research Map | TGRS