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arXiv · 2507.13895

Application Placement with Constraint Relaxation

Damiano Azzolini·Marco Duca·Stefano Forti·Francesco Gallo·Antonio Ielo
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Abstract

Novel utility computing paradigms rely upon the deployment of multi-service applications to pervasive and highly distributed cloud-edge infrastructure resources. Deciding onto which computational nodes to place services in cloud-edge networks, as per their functional and non-functional constraints, can be formulated as a combinatorial optimisation problem. Most existing solutions in this space are not able to deal with \emph{unsatisfiable} problem instances, nor preferences, i.e. requirements that DevOps may agree to relax to obtain a solution. In this article, we exploit Answer Set Programming optimisation capabilities to tackle this problem. Experimental results in simulated settings show that our approach is effective on lifelike networks and applications.

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Damiano Azzolini, Marco Duca, Stefano Forti, Francesco Gallo, Antonio Ielo. 2025-07-18. Application Placement with Constraint Relaxation. https://doi.org/10.1017/s1471068425100148

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