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A CP-Net based Qualitative Composition Approach for an IaaS Provider

arXiv 2102.12221 ↗First posted 24 Feb 2021cs.AI cs.DCcited by 1

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Abstract (arXiv)

We propose a novel CP-Net based composition approach to qualitatively select an optimal set of consumers for an IaaS provider. The IaaS provider's and consumers' qualitative preferences are captured using CP-Nets. We propose a CP-Net composability model using the semantic congruence property of a qualitative composition. A greedy-based and a heuristic-based consumer selection approaches are proposed that effectively reduce the search space of candidate consumers in the composition. Experimental results prove the feasibility of the proposed composition approach.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 30 references that are in the map. First posted on arXiv 24 Feb 2021.

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References · 1

  1. 2013UCP-Networks: A Directed Graphical Representation of Conditional Utilitiescited by 2

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