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

TL;DR

This paper introduces a CP-Net based method for qualitatively selecting optimal consumers for an IaaS provider, leveraging preference modeling and heuristic algorithms to improve selection efficiency.

Contribution

It presents a novel CP-Net composability model and heuristic consumer selection approaches, enhancing qualitative preference-based composition in IaaS environments.

Findings

Proposed CP-Net composability model effectively captures preferences.

Heuristic algorithms reduce search space significantly.

Experimental results validate the approach's feasibility.

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.