A CP-Net based Qualitative Composition Approach for an IaaS Provider
Fattah, Sheik Mohammad Mostakim, Bouguettaya, Athman, Mistry, Sajib
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Feb-24-2021