Leasing the Cloud-Edge Continuum, \`a la Carte

TL;DR

This paper introduces a declarative Prolog-based strategy for selecting Cloud-Edge resources to meet application requirements, facilitating optimal leasing of virtualized infrastructure along the Cloud-Edge continuum.

Contribution

It presents a novel resource selection method using Prolog, enabling infrastructure providers to identify suitable resource subsets efficiently.

Findings

Proposed strategy effectively identifies resource subsets in a lifelike scenario.

Demonstrates the feasibility of declarative approaches for Cloud-Edge resource leasing.

Enhances resource allocation precision for next-gen computing paradigms.

Abstract

Next-gen computing paradigms foresee deploying applications to virtualised resources along a continuum of Cloud-Edge nodes. Much literature focussed on how to place applications onto such resources so as to meet their requirements. To lease resources to application operators, infrastructure providers need to identify a portion of their Cloud-Edge assets to meet set requirements. This article proposes a novel declarative resource selection strategy prototyped in Prolog to determine a suitable infrastructure portion that satisfies all requirements. The proposal is showcased over a lifelike scenario.