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arxiv: 2102.12221 · v1 · pith:NZY4XU7V · submitted 2021-02-24 · cs.AI · cs.DC

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

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classification cs.AI cs.DC
keywords compositionapproachconsumerscp-netiaasproviderqualitativepropose
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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.

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