English

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

Artificial Intelligence 2021-02-25 v1 Distributed, Parallel, and Cluster Computing

Abstract

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.

Cite

@article{arxiv.2102.12221,
  title  = {A CP-Net based Qualitative Composition Approach for an IaaS Provider},
  author = {Sheik Mohammad Mostakim Fattah and Athman Bouguettaya and Sajib Mistry},
  journal= {arXiv preprint arXiv:2102.12221},
  year   = {2021}
}

Comments

published in The 19th International Conference on Web Information Systems Engineering (WISE) 2018

R2 v1 2026-06-23T23:28:12.236Z