In cloud investment markets, consumers are looking for the lowest cost and adesirable fairness while providers are looking for strategies to achieve thehighest possible profit and return. Most existing models for auction-basedresource allocation in cloud environments only consider the overall profitincrease and ignore the profit of each participant individually or thedifference between the rich and the poor participants. This paper proposes amulti-dimensional fairness combinatorial double auction (MDFCDA) model whichstrikes a balance between the revenue and the fairness among participants. Wesolve a winner determination problem (WDP) through integer programming whichincorporates the fairness attribute based on the history of participants whichis stored in a repository. Our evaluation results show that the proposed modelincreases the willingness of participants to take part in the next auctionrounds. Moreover, the average percentage of resource utilization is increased.
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