2016/08/18 by Reihaneh Hassanzadeh, Ali Movaghar, Hassanzadeh, Reihaneh +3
Computer Science · Decision Sciences · #Auction Theory and Applications #Blockchain Technology Applications and Security #Cloud Computing and Resource Management #Computer Science and Game Theory (cs.GT) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC) #cs.DC #cs.GT
paper · pdf · doi:10.48550/arxiv.1608.05315
openalex publication_date 2016/08/18 · arxiv created 2016/09/21 · arxiv updated 2016/09/22 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
In cloud investment markets, consumers are looking for the lowest cost and a desirable fairness while providers are looking for strategies to achieve the highest possible profit and return. Most existing models for auction-based resource allocation in cloud environments only consider the overall profit increase and ignore the profit of each participant individually or the difference between the rich and the poor participants. This paper proposes a multi-dimensional fairness combinatorial double auction (MDFCDA) model which strikes a balance between the revenue and the fairness among participants. We solve a winner determination problem (WDP) through integer programming which incorporates the fairness attribute based on the history of participants which is stored in a repository. Our evaluation results show that the proposed model increases the willingness of participants to take part in the next auction rounds. Moreover, the average percentage of resource utilization is increased.