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

arXiv: https://arxiv.org/abs/2102.12221 · HTML: https://mlsanity.com/paper/2102.12221/

## Key facts

- Cited by 1 papers 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.

## Builds on (most cited first, 1 of 1)

- [UCP-Networks: A Directed Graphical Representation of Conditional Utilities](https://mlsanity.com/paper/1301.2259/) (2013)

## Built on by (most cited first, 1 of 1)

- [Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries](https://mlsanity.com/paper/2307.16307/) (2023)

## 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.